The main purpose of IDAL is the study and application of intelligent methods of data analysis for pattern recognition, with applications that struggle with prediction, classification or trend determination.
Its members apply classic statistical methods and automatic learning techniques to large databases: statistical hypothesis testing, linear models, feature selection and extraction, neural networks, clustering algorithms, decision trees, support vector machines, probabilistic graphical models, manifold visualization, fuzzy logic, reinforcement learning, etc.
The ultimate goal of the application of these methods is to generate mathematical models which enable the optimization of processes and resources, as well as to reach the optimal decision making stage. A clear example of this is the area of health, where IDAL has developed clinical decision support application based on data analysis. These applications make it possible to improve the patient’s quality of life (establishing optimal clinical guidelines) while reducing healthcare costs.
Complementing this knowledge, the group has extensive experience in signal processing (spectral analysis, digital filter, adaptive process, etc.) due to their work of over 10 years in biosignal processing (mainly ECG and EEG). With all this background, IDAL is able to analyse a wide range of data and signals. This fact is backed up by the large number of both private and public contracts it has developed in different areas of knowledge. Furthermore, most of the practical work carried out has been displayed in important scientific publications with high impact parameters and in a large number of communications to international congresses within the area of data analysis.
Among the developed applications, (outside the health area already mentioned) are the following, i.a: web recommendations, models for optimal incentive management to gain customer loyalty, measurement-based shoe recommendations, and other data analysis consultancy works. In addition to its practical work IDAL, it develops new data analysis algorithms improving the performance of the existing ones. This research work is also reflected in a wide dissemination in the form of different publications in journals of impact and in congresses of data analysis relevant to the scientific community.
- Advanced data mining.
- Knowledge extraction of large databases.
- Expert system application with real applications.
- Development of new database analysis algorithms
- Big data.
- Quantum machine learning
Use of formalism of quantum mechanics to improve the performance of machine learning algorithms. Use of machine learning for the description and extraction of quantum phenomena knowledge.
- Intelligent data analysis
Application of automatic learning techniques for problems with prediction, classification and recognition of patterns or trends.
- Big Data
Large database analysis in which there are three characteristics that make them special: growth velocity, variety in the data classes and volume.
- Process optimisation
Development of reinforcement learning models and dynamic programming for cost reduction, the improvement of important parameters and the increase of efficiency.
- Signal capture and processing
Development of equipment and algorithms custom-made for their aqcuisition and signal processing.
- Natural Language Processing
Extraction of structured information and knowledge from the analysis of free texts and a priori unstructured information.
- Recommender system
Development of product recommendation engines based on the characteristics of the customer and management of personalised promotions.
- SERRANO LOPEZ, ANTONIO JOSE
- PDI-Titular d'Universitat
- Responsables de Gestio Academica
- Coordinador/a Titulacio de Grau
- SORIA OLIVAS, EMILIO
- PDI-Catedratic/a d'Universitat
- Cap de Seccio-Servei
- Director/a Titulacio Master Oficial
- Jefe/a de Seccion-Servicio-Vicerrectorado d'Innovacio i Tranferencia; Cap Iniciatives
- GOMEZ SANCHIS, JUAN
- PDI-Catedratic/a d'Universitat
- Coordinador/a Curs
- GRIMALDO MORENO, FRANCISCO
- PDI-Catedratic/a d'Universitat
- MAGDALENA BENEDICTO, JOSE RAFAEL
- PDI-Titular d'Universitat
- Dega/Degana / Director/a Ets
- MARTINEZ SOBER, MARCELINO
- PDI-Catedratic/a d'Universitat
- Vicedega/Vicedegana / Vicedirector/a Ets
- VIVES GILABERT, YOLANDA
- PDI-Titular d'Universitat
- Coordinador/a de Mobilitat
- ContraerExpandirSERRANO LOPEZ, ANTONIO JOSEPDI-Titular d'UniversitatResponsables de Gestio AcademicaCoordinador/a Titulacio de Grau
Fernando Mateo ; Joan Vila-Francés ; Emilio Soria-Olivas ; Marcelino Martínez-Sober ; Juan Gómez-Sanchis ; Antonio José Serrano-López.2025Research Group on Intelligent Data Analysis LaboratoryApplied Sciences-Basel
Rodríguez Belenguer, Pablo; Piñana, José Luis ; Sánchez-Montañés, Manuel ; Soria-Olivas, Emilio ; Martínez-Sober, Marcelino ; Serrano-López, Antonio J.2024Research Group on Intelligent Data Analysis LaboratoryComputer Methods and Programs in Biomedicine
Rocío Pérez Quintero; Marcos Bruna Esteban; Antonio José Serrano López.2024Research Group on Intelligent Data Analysis LaboratoryCirugia EspanolaVolume 102. Number 11.
Alejandro Dionis-Ros; Joan Vila-Francés; Rafael Magdalena-Benedito; Fernando Mateo; Antonio J. Serrano-López.2024Research Group on Intelligent Data Analysis LaboratoryApplied Sciences-BaselVolume 14. Number 23.
Vallés-Pérez, Iván; Soria-Olivas, Emilio; Martínez-Sober, Marcelino; Serrano-López, Antonio J.; Vila-Francés, Joan; Gómez-Sanchís, Juan.2023Research Group on Intelligent Data Analysis LaboratoryEngineering Applications of Artificial IntelligenceVolume 120. Number 105863.
Iván Vallés-Pérez; Emilio Soria-Olivas; Marcelino Martínez-Sober; Antonio J Serrano-López; Juan Gómez-Sanchís; Fernando Mateo.2022Research Group on Intelligent Data Analysis LaboratoryExpert Systems With ApplicationsVolume 201. Number Septiembre 2022.
Piñana JL, Rodríguez-Belenguer P, Caballero D, Martino R, Lopez-Corral L, Terol MJ, Vazquez L, Calabuig M, Sanz-Linares G, Marin-Jimenez F, Alonso C, Montoro J, Ferrer E, Facal A, Pascual MJ, Rodriguez-Fernandez A, Olave MT, Cascales-Hernandez A, Gago B, Hernández-Rivas JÁ, Villalon L, Corona M, Roldán-Pérez A, Ribes-Amoros J, González-Santillana C, Garcia-Sanz R, Navarro D, Serrano-López AJ, Cedillo Á, Soria-Olivas E, Sureda A, Solano C; Infectious Complications Subcommittee of the Spanish Hematopoietic Stem Cell Transplantation and Cell Therapy Group (GETH-TC).2022Research Group on Intelligent Data Analysis LaboratoryAnnals of Hematology
Manuel Sánchez-Montañés; Pablo Rodríguez-Belenguer; Antonio J. Serrano-López; Emilio Soria-Olivas; Yasser Alakhdar-Mohmara.2020Research Group on Intelligent Data Analysis LaboratoryInternational Journal Of Environmental Research And Public HealthVolume 17. Number 8386.
Alberto Urueña-López; Fernando Mateo; Julio Navío-Marco; José María Martínez-Martínez; Juan Gómez-Sanchís; Joan Vila Francés; Antonio José Serrano-López.2019Research Group on Intelligent Data Analysis LaboratoryComputers & SecurityVolume 83.
Sergio Castro-Garcia; Fernando Aragon-Rodriguez; Rafael R. Sola-Guirado; Antonio J. Serrano; Emilio Soria-Olivas; Jesús A. Gil-Ribes.2019Research Group on Intelligent Data Analysis LaboratorySensors
D. Lorente; F. Martínez-Martínez; M.J. Rupérez; M.A. Lago; M. Martínez-Sober; P. Escandell-Montero; J.M. Martínez-Martínez; S. Martínez-Sanchis; A.J. Serrano-López; C. Monserrat; J.D. Martín-Guerrero.2017A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learningExpert Systems With ApplicationsVolume 71.
F. Martínez-Martínez; M.J. Rupérez; M. Martínez-Sober; D. Lorente; A.J. Serrano-López; S. Martínez-Sanchis; C. Monserrat; J.D. Martín-Guerrero.2017Research Group on Intelligent Data Analysis LaboratoryComputers in Biology and MedicineVolume 90.
Gandía-Aguilo V; Cibrián R; Soria E; Serrano AJ; Aguiló L; Paredes V; Gandía JL.2017Research Group on Intelligent Data Analysis LaboratoryMedicina Oral Patologia Oral y Cirugia Bucal
José M. Martínez-Martínez; José D. Martín-Guerrero; Emilio Soria-Olivas; José A. Bernabeu; Pablo Escandell-Montero; Rafael Hernández Stark; Antonio J. Serrano-López; Enrique Montiel.2017Research Group on Intelligent Data Analysis LaboratoryNeural Computing & ApplicationsVolume 28. Number 7.
José M. Martínez-Martínez; Pablo Escandell-Montero; Emilio Soria-Olivas; José D. Martín-Guerrero; Antonio J. Serrano-López.2016A new visualization tool for data mining techniquesProgress in Artificial IntelligenceVolume 5. Number 2.
José M. Martínez-Martínez; Pablo Escandell-Montero; Carlo Barbieri; Emilio Soria-Olivas; Flavio Mari; Marcelino Martínez-Sober; Claudia Amato; Antonio J. Serrano López; Marcello Bassi; Rafael Magdalena-Benedito; Andrea Stopper; José D. Martín-Guerrero; Emanuele Gatti.2014Research Group on Intelligent Data Analysis LaboratoryComputer Methods and Programs in BiomedicineVolume 117. Number 2.
Juan Caravaca; Emilio Soria-Olivas; Manuel Bataller; Antonio J. Serrano; Luis Such-Miquel; Joan Vila-Francés; Juan F. Guerrero.2014Research Group on Intelligent Data Analysis LaboratoryComputers in Biology and MedicineVolume 45. Number 1.
D. Lorente; J. Blasco; A. J. Serrano; E. Soria-Olivas; N. Aleixos; J. Gómez-Sanchis.2013Research Group on Intelligent Data Analysis LaboratoryFood And Bioprocess TechnologyVolume 6. Number 12.
Joan Vila-Francés; Juan Sanchís; Emilio Soria-Olivas; Antonio José Serrano; Marcelino Martínez-Sober; Clara Bonanad; Silvia Ventura.2013Research Group on Intelligent Data Analysis LaboratoryExpert Systems With ApplicationsVolume 40. Number 12.
José D. Martín Guerrero, Daniele Marcelli, Emilio Soria-Olivas, Flavio Mari, José María Martínez-Martínez, Isabel Soley Bech, Marcelino Martínez-Sober Laura Scatizzi, Juan Gómez-Sanchis, Andrea Stopper, Antonio José Serrano-López, Emanuele Gatti.2012Self-Organising Maps: A new way to screen the level of satisfaction of dialysis patientsExpert Systems With ApplicationsVolume 39. Number 10.
CARRASCO-FERNÁNDEZ, J.J.; SORIA-OLIVAS, E.; GÓMEZ-SANCHIS, J.; SERRANO, A.J.; SORIANO-ASENSI, A.; GUERRERO-MARTÍNEZ, J.2012Research Group on Intelligent Data Analysis LaboratoryComputer Applications in Engineering EducationVolume 20. Number 2.
Emilio Soria, Juan Gómez-Sanchis, Antonio J. Serrano, Marcelino Martínez, José D. Martín, Rafael Magdalena, Joan Vila.2011Research Group on Intelligent Data Analysis LaboratoryIEEE Transactions on Neural NetworksVolume 22. Number 3.
Geraldo-Ferreira, A., Soria-Olivas, E., Gomez-Sanchis, J., Serrano-López, A.J, Velázquez-Blazquez, A., López-Baeza, E.2011Modelling net radiation at surface using "in situ" netpyrradiometer measurements with artificial neural networksExpert Systems With ApplicationsVolume 38.
Antonio Geraldo Ferreira; Emilio Soria-Olivas; Antonio José Serrano López; Ernesto Lopez-Baeza.2011Research Group on Intelligent Data Analysis LaboratoryTheoretical and Applied ClimatologyVolume 106. Number 1-2.
Guerrero Martínez, Juan F.; Caravaca Moreno, Juan; Martínez Sober, Marcelino; Soria Olivas, Emilio; Magdalena Benedito, José Rafael; Martín Guerrero, José David; Calpe Maravilla, Javier; Gómez Chova, Luis; Serrano López, Antonio J. y Gómez Sanchis, Juan.2011Research Group on Intelligent Data Analysis Laboratory@tic. Revista d'innovació educativaNumber 6.
Ibáñez V; Pareja E; Serrano AJ; Vila JJ; Pérez S; Martín JD; Sanjuán F; López R; Mir J.2009Predicting Early Transplant Failure: Neural Network Versus Logistic Regression ModelsThe Open Transplantation JournalVolume 3.
C. Fernández, E. Soria, A. J. Serrano, J. D. Martín, R. Magdalena, M. Martínez.2009Simucapra: Educational Software Application for Animal Nutrition based on MATLABInternational Journal Of Engineering EducationVolume 25. Number 5.
Antonio Soriano-Asensi, J. D. Martín-Guerrero, E. Soria-Olivas, Alberto Palomares, Rafael Magdalena-Bendito, Antonio J. Serrano López.2008Web mining based on Growing Hierarchical Self-Organizing Maps: Analysis of a real citizen web portalExpert Systems With ApplicationsVolume 34. Number 4.
R. Magdalena-Benedito, A.J. Serrano-Lopez, J.D. Martín-Guerrero, A. Rosado-Muñoz, M. Martinez-Sober.2008Research Group on Intelligent Data Analysis LaboratoryIEEE Transactions on EducationVolume 51. Number 4.
Marcelino Martínez,Emilio Soria, Rafael Magdalena, Antonio Jose Serrano, Jose David Martín, Joan Vila.2008Comparative study of several Fir Median Hybrid Filters for blink noise removal in ElectrooculogramsWSEAS transactions on signal processingVolume 4. Number 3.
José D. Martín, E. Soria, M. Martínez, A. J. Serrano, R. Magdalena, J. Gómez.2008Use of Reinforcement Learning in two real applicationsLecture Notes in Artificial IntelligenceVolume 5323.
E. Soria, J.D. Martín, A.J. Serrano, J.Calpe, J. Chambers.2007Steady-State and Tracking Analysis of a Robust Adaptive Filter with Low Computational CostSignal ProcessingVolume 87. Number 1.
C. Fernández, E. Soria, P. Sánchez-Seiquer, L. Gómez-Chova, R. Magdalena, J. D. Martín-Guerrero, M. J. Navarro, A. J. Serrano.2007Weekly milk prediction on dairy goats using neural networksNeural Computing & ApplicationsVolume 16. Number 4-5.
Marcelino Martínez,Emilio Soria, Rafael Magdalena, Joan Vila, Antonio Jose Serrano.2007Algorithm for the detection of saccadic movements in electrooculogramsWSEAS transactions on signal processingVolume 3. Number 255.
A.J. Serrano, R. Magdalena, J.D. Martín, M. Bataller, M. Martínez, E. Soria.2007Automated Sleep Stage Scoring Using Hidden Markov Models and Multilayer Perceptron NetworksWSEAS transactions on signal processingVolume 3. Number 1.
G. Camps-Valls, L. Gómez-Chova, J. Vila-Francés, J. D. Martín-Guerrero, A. J. Serrano-López, and E. Soria-Olivas.2006Enhancing decision-based neural networks through local competitionNeurocomputingVolume 69. Number 7-9.
E. Soria, J.D. Martín, A.J. Serrano, J. Calpe, J. Vila, G. Camps.2006Efficient Pruning of Multilayer Perceptrons Using a Fuzzy Sigmoid Activation FunctionNeurocomputingVolume 69. Number 2.
E. Soria, G. Camps, J.D. Martín, J. Vila, A.J. Serrano.2006Non-linear RLS-based Algorithm for Pattern ClassificationSignal ProcessingVolume 86. Number 5.
E. Soria, J.D. Martín, J. Calpe, A.J. Serrano, J. Chambers.2006Robust Adaptive Algorithm with Low Computational CostElectronics LettersVolume 42. Number 1.
Agustín Serrano, Antonio José Serrano, José Rafael Magadalena, Vicent Modesto-Alapont, Emilio Soria.2005Endoscopic Treatment of Vesicoureteral Reflux Using Artificial Neural NetworksAmerican Journal of Urology ReviewVolume 3. Number 6.
G. Camps, A. M. Chalk, A.J. Serrano, J.D. Martín, E.L. Sonnhammer.2004Profiled Support Vector Machines for Antisense Oligonucleotide Efficacy PredictionBioinformaticsVolume 5.
A. Serrano, A.J. Serrano, J.R. Magadalena, J.D. Martín, E. Soria, C. Domínguez, F. Estronell, F. García.2004The use of neural networks in the prediction of result of endoscopic treatment of vesicoureteral refluxBJU InternationalVolume 94.
Gustavo Camps-Valls, Antonio José Serrano, José David Martín, Emilio Soria, Victor Jiménez, Begoña Porta.2004Neural networks for C2h cyclosporine concentration modellingPharmacy World & ScienceVolume 26. Number 2.
Rafael Magdalena, Antonio J. Serrano, Agustín Serrano, Jorge Muñoz, Joan Vila, E. Soria.2004Design of a Neural Network Model as a Decision Making Aid in Renal TransplantLecture Notes in Computer ScienceVolume 3337.
J.D. Martín, E. Soria, G. Camps, A.J. Serrano, J.R. Sepúlveda, N.V. Jiménez.2004Neural networks as effective techniques in clinical management of patients: some case studiesTransactions of the Institute of Measurement and ControlVolume 26. Number 3.
J.D. Martín, L. Gómez, G. Camps, A.J. Serrano, J. Vila, J. Calpe, E. Soria.2004Channel equalisation using a soft back-propagation learning algorithmJournal Of Electrical Engineering-Elektrotechnicky CasopisVolume 55. Number 5-6.
Emilio Soria, José David Martín, Gustavo Camps, Antonio Serrano, Javier Calpe, Luis Gómez.2003A low complexity fuzzy activation function for artificial neural networksIEEE Transactions on Neural NetworksVolume 14. Number 4.
J.D. Martín, G. Camps, E. Soria, A.J. Serrano, J.J. Pérez, N.V. Jiménez.2003Dosage individualization of erythropoietin using a profile-dependent support vector regressionIEEE Transactions on Biomedical EngineeringVolume 50. Number 10.
Gustavo Camps, Begoña Porta, Emilio Soria, José D. Martín, Antonio J. Serrano, Juan J. Pérez, N. Víctor Jiménez.2003Prediction of Cyclosporine Dosage in Patients after Kidney Transplantation Using Neural NetworksIEEE Transactions on Biomedical EngineeringVolume 50. Number 4.
J.D. Martín, E. Soria, G. Camps, A.J. Serrano, J.J. Pérez, N.V. Jiménez.2003Use of neural networks for dosage individualisation of erythropoietin in patients with secondary anemia to chronic renal failureComputers in Biology and MedicineVolume 33. Number 4.
José Torres, Gustavo Camps, Enrique Sanchis, Vicente González, Antonio Serrano, Gloria Torralba.2003Modelado de un filtro Wiener: Implementación mediante FPGAMundo ElectrónicoVolume Noviembre 2003. Number 347.
A. Rosado, J. Guerrero, M. Bataller, A. J. Serrano, F.J. Chorro, M. Martínez, E. Soria.2002Método no invasivo de detección de fibrilación ventricular mediante análisis tiempo-frecuenciaRevista mexicana de ingeniería biomédicaVolume XXIII. Number 1.
Emilio Soria, Víctor Jiménez, Antonio Serrano, Gustavo Camps.2000Redes Neuronales Artificiales: una nueva herramienta para la atención farmaceúticaAtencion FarmaceuticaVolume 2. Number 1.
Emilio Soria, Gustavo Camps, Antonio Serrano, José David Martín, Asunción Albert, Víctor Jiménez.2000Redes neuronales artificiales para identificación de pacientes con riesgo de intoxicación digitálicaRevista mexicana de ingeniería biomédicaVolume XXI. Number 1.
Emilio Soria, José Vicente Francés, Antonio Serrano, Marcelino Martínez, Javier Calpe, Juan Guerrero.1999Estudio de las prestaciones de un algoritmo LMS modificado: Aplicación en Ingeniería BiomédicaRevista mexicana de ingeniería biomédicaVolume XX. Number 3.
Emilio Soria, Marcelino Martínez, Javier Calpe, Juan Guerrero, Antonio Serrano.1999Nuevo algoritmo recursivo para la determinación del ECG fetalRevista Brasileira de Engenharia BiomedicaVolume 15. Number 3.
A. Blanco, J. Barberá, J.V. Francés, R. Magdalena, M. Martínez, A. Serrano, A. Rosado.1998Sincronizador de diapositivasRevista Española de ElectrónicaNumber 528.
Manuel Sánchez-Montañés; Pablo Rodríguez-Belenguer; Antonio J. Serrano-López; Emilio Soria-Olivas; Yasser Alakhdar-Mohmara.2020Research Group on Intelligent Data Analysis LaboratoryVolume 17. Number 8386.
Herreros-Martínez, A.; Magdalena-Benedicto, R.; Vila-Francés, J.; Serrano-López, A.J.; Pérez-Díaz, S.; Martínez-Herráiz, J.J.2025Research Group on Intelligent Data Analysis LaboratoryInformation (Switzerland)Volume 16. Number 3.
Journal Publications
- ContraerExpandirSORIA OLIVAS, EMILIOPDI-Catedratic/a d'UniversitatCap de Seccio-ServeiDirector/a Titulacio Master OficialJefe/a de Seccion-Servicio-Vicerrectorado d'Innovacio i Tranferencia; Cap Iniciatives
Juan J. Carrasco; Mónica Millán; Juan Caravaca; Pablo Escandell-Montero; José María Martínez; Emilio Soria-Olivas.2016Research Group on Intelligent Data Analysis LaboratoryInternational Journal On Artificial Intelligence ToolsVolume 25. Number 1.
Pablo Escandell Montero; Delia Lorente; José M. Martínez-Martínez; Emilio Soria-Olivas; Joan Vila-Francés; José D. Martín-Guerrero.2016Research Group on Intelligent Data Analysis LaboratoryKnowledge-Based SystemsVolume 100.
Gonzalo Vergara; Juan I. Alonso-Barba; Emilio Soria-Olivas; José A. Gámez; Manuel Domínguez.2016Research Group on Intelligent Data Analysis LaboratoryProgress in Artificial IntelligenceVolume 5.
José M. Martínez-Martínez; Pablo Escandell-Montero; Emilio Soria-Olivas; José D. Martín-Guerrero; Antonio J. Serrano-López.2016A new visualization tool for data mining techniquesProgress in Artificial IntelligenceVolume 5. Number 2.
Oliver, E; Vallés, I; Baños, R.M; Cebolla, A; Botella, C; Soria, E.2016Research Group on Intelligent Data Analysis LaboratorySociological Methods & Research
José M. Martínez-Martínez; José D. Martín-Guerrero; Emilio Soria-Olivas; José A. Bernabeu; Pablo Escandell-Montero; Rafael Hernández Stark; Antonio J. Serrano-López; Enrique Montiel.2017Research Group on Intelligent Data Analysis LaboratoryNeural Computing & ApplicationsVolume 28. Number 7.
Gandía-Aguilo V; Cibrián R; Soria E; Serrano AJ; Aguiló L; Paredes V; Gandía JL.2017Research Group on Intelligent Data Analysis LaboratoryMedicina Oral Patologia Oral y Cirugia Bucal
P. Correa-Ghisays; V. Balanzá-Martínez; G. Selva-Vera; J. Vila-Francés; E. Soria- Olivas; J. Vivas-Lalinde; C. San Martín; AM Borrás; R. Ayesa-Arriola; J. Sanchez-Moreno; J. Sánchez-Ort; B. Crespo-Facorro; E. Vieta; R. Tabarés-Seisdedos.2017Research Group on Intelligent Data Analysis LaboratoryJournal of Affective DisordersVolume 215.
Correa-Ghisays, P; Balanza-Martinez, V; Selva-Vera, G; Vila-Frances, J; Soria-Olivas, E; Tabares-Seisdedos, R.2016Research Group on Intelligent Data Analysis LaboratoryBipolar DisordersVolume 18. Number S1.
Gimenez-Garzo C, Garces JJ, Urios A, Mangas-Losada A, Garcia-Garcia R, Gonzalez-Lopez O, Giner-Duran R, Escudero-Garcia D, Serra MA, Soria E, Felipe V, Montoliu C.2017The PHES battery does not detect all cirrhotic patients with early neurological deficits which are different in different patientsPlos OneVolume 12. Number 2.
Mateo, Fernando; Soria Olivas, Emilio; Carrasco, Juan Jose; Bonanad, Santiago; Querol, Felipe; Pérez Alenda, Sofía.2018Research Group on Intelligent Data Analysis LaboratorySensorsVolume 18. Number 8.
Sofía Pérez Alenda; Fernando Mateo; Emilio Soria Olivas; Juan J. Carrasco; Santiago Bonanad; Felipe Querol Fuentes.2018Research Group on Intelligent Data Analysis LaboratoryHaemophiliaVolume 24. Number S1.
Fernando Mateo; Juan J. Carrasco; Sofía Pérez Alenda; Marta Aguilar Rodríguez; Ana Chimeno Hernández; Emilio Soria Olivas; Santiago Bonanad; Felipe Querol Fuentes.2018Research Group on Intelligent Data Analysis LaboratoryHaemophiliaVolume 24. Number S5.
José Selvi; Ricardo Rodriguez; Emilio Soria-Olivas.2019Research Group on Intelligent Data Analysis LaboratoryExpert Systems With ApplicationsVolume 124. Number S5.
Sofía Pérez-Alenda; Juan J. Carrasco; Marta Aguilar-Rodríguez; Emilio Soria-Olivas; José María Martínez-Martínez; Santiago Bonanad-Boix; Felipe Querol.2017Self-Organizing Maps-Based Method for the Analysis of Hemarthrosis Data in Haemophilic PatientsIJRDO Journal Of Health Sciences And NursingVolume 3. Number 5.
Fernando Mateo; Juan J. Carrasco; Marta Aguilar-Rodríguez; Emilio Soria-Olivas; Santiago Bonanad; Felipe Querol; Sofía Pérez-Alenda.2019Research Group on Intelligent Data Analysis LaboratoryHaemophiliaVolume 25. Number 3.
Juan J. Carrasco; Sofía Pérez-Alenda; José Casaña; Emilio Soria-Olivas; Santiago Bonanad; Felipe Querol.2019Research Group on Intelligent Data Analysis LaboratoryInternational Journal Of Environmental Research And Public HealthVolume 16. Number 20.
Bigne, E.; William, E.; Soria-Olivas, E.2020Research Group on Intelligent Data Analysis LaboratoryJournal Of Travel ResearchNumber July.
Yasser Alakhdar Mohmara; Jill Cook; Josep C. Benítez-Martínez; Emily R. Mcpeek; Antonio Alberola Aguilar;Emilio Soria Olivas; Sergio Hernandez-Sanchez.2020Research Group on Intelligent Data Analysis LaboratoryScientific ReportsVolume 10. Number Art. 6503.
Sergio Castro-Garcia; Fernando Aragon-Rodriguez; Rafael R. Sola-Guirado; Antonio J. Serrano; Emilio Soria-Olivas; Jesús A. Gil-Ribes.2019Research Group on Intelligent Data Analysis LaboratorySensors
González-González, M.G., Gómez-Sanchis J, Blasco, J. , Soria-Olivas, E., Chueca, P.2020Research Group on Intelligent Data Analysis LaboratoryAgronomy-BaselVolume 10. Number 128.
Manuel Sánchez-Montañés; Pablo Rodríguez-Belenguer; Antonio J. Serrano-López; Emilio Soria-Olivas; Yasser Alakhdar-Mohmara.2020Research Group on Intelligent Data Analysis LaboratoryInternational Journal Of Environmental Research And Public HealthVolume 17. Number 8386.
Alberto Solano; Ivan Fayos; Alberto Urueña; Marcelino Martínez-Sober; Fernando Mateo; Emilio Soria-Olivas.2021Research Group on Intelligent Data Analysis LaboratoryApplied Sciences-BaselVolume 11. Number 13.
José Selvi; Ricardo J. Rodriguez; Emilio Soria-Olivas.2021Research Group on Intelligent Data Analysis LaboratoryIeee AccessVolume 9.
Carlos Flores-Garrigós; Juan Vicent-Camisón; Juan J. Garcés-Iniesta; Emilio Soria-Olivas; Juan Gómez-Sanchís; Fernando Mateo.2021Research Group on Intelligent Data Analysis LaboratoryApplied Sciences-BaselVolume 11. Number 24.
Baños, R.M; Garcés, J; Miragall, M; Herrero, R; Vara, M.D; Soria-Olivas, E.2022Research Group on Intelligent Data Analysis LaboratoryJournal Of Happiness StudiesVolume 23. Number 4.
Alejandro Grande-Fidalgo; Javier Calpe; Mónica Redón; Carlos Millán-Navarro; Emilio Soria-Olivas.2021Research Group on Intelligent Data Analysis LaboratorySensorsVolume 21.
Iván Vallés-Pérez; Emilio Soria-Olivas; Marcelino Martínez-Sober; Antonio J Serrano-López; Juan Gómez-Sanchís; Fernando Mateo.2022Research Group on Intelligent Data Analysis LaboratoryExpert Systems With ApplicationsVolume 201. Number Septiembre 2022.
Pablo Rodríguez-Belenguer; Victor Mangas-Sanjuan; Emilio Soria-Olivas; Manuel Pastor.2023Research Group on Intelligent Data Analysis LaboratoryJournal of chemical information and modeling
Pablo Rodríguez-Belenguer; Eric March-Vila; Manuel Pastor; Victor Mangas-Sanjuan; Emilio Soria-Olivas.2023Research Group on Intelligent Data Analysis LaboratoryToxicology LettersNumber 389.
Vallés-Pérez, Iván; Soria-Olivas, Emilio; Martínez-Sober, Marcelino; Serrano-López, Antonio J.; Vila-Francés, Joan; Gómez-Sanchís, Juan.2023Research Group on Intelligent Data Analysis LaboratoryEngineering Applications of Artificial IntelligenceVolume 120. Number 105863.
Jose Llanes-Jurado; Lucía A. Carrasco-Ribelles; Mariano Alcañiz; Emilio Soria-Olivas; Javier Marín-Morales.2023Research Group on Intelligent Data Analysis LaboratoryExpert Systems With ApplicationsNumber 230.
Rodríguez Belenguer, Pablo; Piñana, José Luis ; Sánchez-Montañés, Manuel ; Soria-Olivas, Emilio ; Martínez-Sober, Marcelino ; Serrano-López, Antonio J.2024Research Group on Intelligent Data Analysis LaboratoryComputer Methods and Programs in Biomedicine
Piñana JL, Rodríguez-Belenguer P, Caballero D, Martino R, Lopez-Corral L, Terol MJ, Vazquez L, Calabuig M, Sanz-Linares G, Marin-Jimenez F, Alonso C, Montoro J, Ferrer E, Facal A, Pascual MJ, Rodriguez-Fernandez A, Olave MT, Cascales-Hernandez A, Gago B, Hernández-Rivas JÁ, Villalon L, Corona M, Roldán-Pérez A, Ribes-Amoros J, González-Santillana C, Garcia-Sanz R, Navarro D, Serrano-López AJ, Cedillo Á, Soria-Olivas E, Sureda A, Solano C; Infectious Complications Subcommittee of the Spanish Hematopoietic Stem Cell Transplantation and Cell Therapy Group (GETH-TC).2022Research Group on Intelligent Data Analysis LaboratoryAnnals of Hematology
Fernando Mateo ; Joan Vila-Francés ; Emilio Soria-Olivas ; Marcelino Martínez-Sober ; Juan Gómez-Sanchis ; Antonio José Serrano-López.2025Research Group on Intelligent Data Analysis LaboratoryApplied Sciences-Basel
Fernando Mateo, Juan José Garcés-Iniesta, Berthold Jenninger, Juan Gómez-Sanchís, Emilio Soria-Olivas, Paolo Chiggiato.2021Research Group on Intelligent Data Analysis LaboratoryExpert Systems With ApplicationsVolume 178. Number 114959.
Andrea Bonetti; Adrián Salcedo-Puche; Joan Vila-Francés; Xaro Benavent-Garcia; Emilio Fernández-Vargas; Rafael Magdalena-Benedito; Emilio Soria-Olivas.2025Research Group on Intelligent Data Analysis LaboratoryTourism and HospitalityVolume 6. Number 5.
Pablo Rodríguez-Belenguer; Emilio Soria-Olivas; Manuel Pastor.2025StreamChol: a web-based application for predicting colestasisJournal Of Cheminformatics
Journal Publications
Claudio Gallicchio; José D. Martín-Guerrero; Alessio Micheli; Emilio Soria-Olivas,(2017).Randomized Machine Learning Approaches: Recent Developments and Challenges.Proceedings of the 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2017).. (pp. 77 - 86)..
Julio Navio; José María Martínez; Alberto Urueña; Juan José Garcés; Emlio Soria,(2017).Self-organizing maps to analyze value creation in mergers and acquisitions in the telecommunications sector.Emerging Issues in Economics and Development.. (pp. 1 - 27)..
Grau, A.; Martín, J.; Montalbá, C; Soria, E.,(2018).El mínimo común de las políticas de participación locales... (pp. 1 - 101)..
Fernando Mateo; Joan Vila Francés; Emilio Soria Olivas,(2019).Avances en Machine Learning para aplicaciones de ciberseguridad.Ciberseguridad: El reto del siglo XXI.. (pp. 27 - 41)..
Emilio Soria-Olivas (editor),(2019).Ciberseguridad: el reto del siglo XXI... (pp. 1 - 161)..
Joaquín Martínez Cubas; Emilio Soria Olivas (editores),(2019).Innovación e inteligencia artificial al servicio del desarrollo rural... (pp. 1 - 187)..
Gonzalo Vergara; Juan J. Carrasco; Jesus Martínez-Gómez; Manuel Domínguez; José A. Gámez; Emilio Soria-Olivas,(2016).Global and Local Clustering-Based Regression Models to Forecast Power Consumption in Buildings.Handbook of Research on Emerging Technologies for Electrical Power Planning, Analysis, and Optimization.. (pp. 207 - 234)..
Fernando Mateo; Emilio Soria Olivas; Marcelino Martínez Sober; María Téllez Plaza; Juan Gómez Sanchis; Josep Redón,(2016).Multi-step strategy for mortality assessment in cardiovascular risk patients.Proceedings of the 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016).. (pp. 295 - 300)..
Emilio Soria Olivas; Mariano Serra Bondía.,(2021).Tiny Ml: la nueva revolución en la IoT... (pp. 1 - 79)..
Emilio Soria-Olivas; Juan Gómez Sanchis; Marcelino Martínez Sober,(2021).Hardware, software y aplicaciones.Tiny ML: la nueva revolución en la IoT... (pp. 8 - 28)..
Emilio Soria-Olivas; Mariano Serra Bondía.,(2021).Business Artificial Intelligence... (pp. 1 - 96)..
Antonio José Serrano López; Emilio Soria Olivas; Fernando Mateo Jiménez,(2021).BI conoce a la IA.Bussines Artificial Intelligence.. (pp. 8 - 30)..
Emilio Soria Olivas; Pedro Dimas Martínez; Regino Barranquero Cardeñosa,(2021).Tiny ML y su uso contra el COVID-19: Distancia social y detección de mascarillas... (pp. 29 - 53)..
Emilio Soria-Olivas; Pablo Rodriguez; Quique Vidal; Fran Vaquer; Juan Vicent; Jorge Vila,(2022).Inteligencia Artificial: Casos prácticos con aprendizaje profundo... (pp. 1 - 300)..
Rafael Magdalena Benedito; Emilio Soria-Olivas,(2021).Ciencia de Datos, el nuevo habitat para la sociedad del futuro.Ciencia Abierta y Desarrollo Rural.. (pp. 107 - 124)..
Iván Vallés-Pérez; Juan Gómez-Sanchis; Marcelino Martínez-Sober; Joan Vila-Francés; Antonio J. Serrano-López; Emilio Soria-Olivas,(2021).End-to-end Keyword Spotting using Xception-1d.ESANN 2021 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning... (pp. 245 - 250)..
Emilio Soria-Olivas; Joan Vila-Francés; Emma Amorós Belda; Elena Bonache Cobos; María Cavero Martínez,(2024).Introducción sin tecnicismos a la IA.La administración digital en la era de las tecnologías disruptivas : transformando la gestión pública.. (pp. 147 - 169)..
Emilio Soria-Olivas; Joan Vila-Francés; Emma Amorós Belda; Elena Bonache Cobos; María Cavero Martínez,(2024).IA generativa: una nueva (y gran) oportunidad para las administraciones.La administración digital en la era de las tecnologías disruptivas : transformando la gestión pública.. (pp. 645 - 676)..
Emilio Soria-Olivas; Joan Vila-Francés; Emma Amorós Belda; Elena Bonache Cobos; María Cavero Martínez,(2024).Bonus track: experiencias demostradoras del uso de tecnologías disruptivas en el sector público.La administración digital en la era de las tecnologías disruptivas : transformando la gestión pública.. (pp. 679 - 702)..
Emilio Soria-Olivas; Manuel Sánchez Montañés; Ruth Gamero Cruz; Borja Castillo Caballero; Pedro Cano Michelena.,(2023).Sistemas de aprendizaje automático... (pp. 1 - 264)..
Emilio Soria-Olivas; Manuel Sánchez Montañés; Ruth Gamero Cruz; Borja Castillo Caballero; Pedro Cano Michelena.,(2023).Machine learning aplicado usando Python... (pp. 1 - 264)..
Emilio Soria-Olivas; Hector Casado; Antonio Martínez,(2024).People Analytics. Big Data al servicio de los recursos humanos... (pp. 1 - 362)..
Emilio Soria Olivas; Pablo Rodríguez Belenguer; Diego Bonilla Salvador; Emma Amorós Belda; Pablo Hernández Cámara; Manuel Sánchez-Montañés,(2025).AI Revolution: Exploring advanced concepts in deep learning... (pp. 1 - 496)..
Other publications
- ContraerExpandirCARRASCO FERNANDEZ, JUAN JOSEPI-Invest Doct Uv Senior
CARRASCO-FERNÁNDEZ, J.J.; SORIA-OLIVAS, E.; GÓMEZ-SANCHIS, J.; SERRANO, A.J.; SORIANO-ASENSI, A.; GUERRERO-MARTÍNEZ, J.2012Research Group on Intelligent Data Analysis LaboratoryComputer Applications in Engineering EducationVolume 20. Number 2.
Fernando Mateo; Juan José Carrasco; Abderrahim Sellami; Mónica Millán-Giraldo; Manuel Domínguez; Emilio Soria-Olivas.2013Research Group on Intelligent Data Analysis LaboratoryExpert Systems With ApplicationsVolume 40. Number 4.
N. Vélez-Rivera, J. Gómez-Sanchís, J. Chanona-Pérez, J.J Carrasco, M. Millán-Giraldo, D. Lorente, S. Cubero and J. Blasco.2014Early Detection of Mechanical Damage in Mango Using NIR Hyperspectral Images and Machine LearningBiosystems EngineeringVolume 122.
Juan J. Carrasco; Mónica Millán; Juan Caravaca; Pablo Escandell-Montero; José María Martínez; Emilio Soria-Olivas.2016Research Group on Intelligent Data Analysis LaboratoryInternational Journal On Artificial Intelligence ToolsVolume 25. Number 1.
Pérez-Alenda, S.; Carrasco, J.J.; Aguilar-Rodríguez, M.; Martínez-Gómez, L.; Querol-Giner, M.; Cuesta-Barriuso, R.; Torres-Ortuño, A.; Querol, F.2017Research Group on Intelligent Data Analysis LaboratoryHaemophiliaVolume 23. Number 1.
Cuesta-Barriuso, R.; Torres-Ortuño, A.; Pérez-Alenda, S.; Carrasco, J.J.; Querol, F.; Nieto-Munuera, J.2016Research Group on Intelligent Data Analysis LaboratoryPediatric Physical TherapyVolume 28. Number 4.
Carrasco, J.J.; Millán-Giraldo, M.; Caravaca, J.; Díaz, I.; Sanchis, J.; Soria-Olivas, E.2015Short-term Temperature Prediction in Buildings Using Advanced Data Analysis TechniquesEngineering Intelligent Systems For Electrical Engineering And CommunicationsVolume 23. Number 4.
Querol-Giner, M.; Pérez-Alenda, S.; Aguilar-Rodríguez, M.; Carrasco, J.J.; Bonanad, S.; Querol, F.2017Research Group on Intelligent Data Analysis LaboratoryHaemophiliaVolume 23. Number 6.
Pérez-Alenda S; Carrasco JJ; Megías-Vericat JE; Poveda JL; Bonanad S; Querol F.2018Research Group on Intelligent Data Analysis LaboratoryHaemophiliaVolume 24. Number 1.
Colado JC; Pedrosa FM; Juesas A; Gargallo P; Carrasco JJ; Flandez J; Chupel MU; Teixeira AM; Naclerio F.2018Research Group on Intelligent Data Analysis LaboratoryExperimental GerontologyVolume 103.
Cinta Gómez-Tomás; Iván Chulvi-Medrano; Juan José Carrasco; Yasser Alakhdar.2018Research Group on Intelligent Data Analysis LaboratoryMenopauseVolume 25. Number 9.
Gómez, C.; Martínez Gil, J.L.; Carrasco, J.J.; Alakhdar, Y.; Chulvi-Medrano, I.2018Research Group on Intelligent Data Analysis LaboratoryFisioterapia
Mateo, Fernando; Soria Olivas, Emilio; Carrasco, Juan Jose; Bonanad, Santiago; Querol, Felipe; Pérez Alenda, Sofía.2018Research Group on Intelligent Data Analysis LaboratorySensorsVolume 18. Number 8.
Cuesta-Barriuso R; Torres-Ortuño A; Pérez-Alenda S; Carrasco Juan J; Querol F; Nieto-Munuera J; López-Pina JA.2019Research Group on Intelligent Data Analysis LaboratoryPhysiotherapy Theory And PracticeVolume 35. Number 4.
Sara Cortes-amador; Juan J. Carrasco; Nuria Semper-Rubio; Celedonia Igual Camacho; Luis A. Villaplana-Torres; Sofía Perez-Alenda.2019Research Group on Intelligent Data Analysis LaboratoryJournal of Applied Research in Intellectual DisabilitiesVolume 32. Number 2.
Fernando Mateo; Juan J. Carrasco; Marta Aguilar-Rodríguez; Emilio Soria-Olivas; Santiago Bonanad; Felipe Querol; Sofía Pérez-Alenda.2019Research Group on Intelligent Data Analysis LaboratoryHaemophiliaVolume 25. Number 3.
Joaquín Calatayud; Sofía Pérez-Alenda; Juan J. Carrasco; Adrián Escriche; Carlos Cruz-Montecinos; Lars L. Andersen; Santiago Bonanad; Felipe Querol; José Casaña.2019Research Group on Intelligent Data Analysis LaboratoryPhysical TherapyVolume 99. Number 4.
SÁNCHEZ-SÁNCHEZ ML; RUESCAS-NICOLAU MA; CARRASCO JJ; ESPÍ-LÓPEZ GV; PÉREZ-ALENDA S.2019Research Group on Intelligent Data Analysis LaboratoryTopics In Stroke RehabilitationVolume 26. Number 7.
Juan J. Carrasco; Sofía Pérez-Alenda; José Casaña; Emilio Soria-Olivas; Santiago Bonanad; Felipe Querol.2019Research Group on Intelligent Data Analysis LaboratoryInternational Journal Of Environmental Research And Public HealthVolume 16. Number 20.
Joaquín Calatayud; Sofía Pérez-Alenda; Juan J. Carrasco; Adrián Escriche-Escuder; Carlos Cruz-Montecinos; Lars L. Andersen; Santiago Bonanad; Felipe Querol; José Casaña.2020Research Group on Intelligent Data Analysis LaboratoryPhysical Therapy & Rehabilitation JournalVolume 100. Number 1.
Carlos Cruz-Montecinos; Juan J. Carrasco; Benjamín Guzmán-González; Verónica Soto-Arellano; Joaquín Calatayud; Ana Chimeno-Hernández; Felipe Querol; Sofía Pérez-Alenda.2020Research Group on Intelligent Data Analysis LaboratoryHaemophiliaVolume 26. Number 3.
Sara Cortés-Amador; Juan José Carrasco; Nuria Sempere-Rubio; Celedonia Igual-Camacho; Luis Antonio Villaplana-Torres; Sofia Pérez-Alenda.2019Research Group on Intelligent Data Analysis LaboratoryJournal of Applied Research in Intellectual DisabilitiesVolume 32. Number 4.
Joaquín Calatayud; Sofía Pérez-Alenda; Juan J Carrasco; Carlos Cruz-Montecinos; Lars L Andersen; Santiago Bonanad; Felipe Querol; Juan E Megías-Vericat; José Casaña.2020Research Group on Intelligent Data Analysis LaboratoryPhysical Therapy & Rehabilitation JournalVolume 100. Number 9.
Joaquín Calatayud; Jonás Navarro-Navarro; Juan J Carrasco; Sofía Pérez-Alenda; Carlos Cruz-Montecinos; Lars L Andersen; Felipe Querol-Giner; José Casaña.2020Research Group on Intelligent Data Analysis LaboratoryJournal Of Clinical MedicineVolume 9. Number 2801.
Joaquín Calatayud; Sofía Pérez-Alenda; Juan J Carrasco; Carlos Cruz-Montecinos; Lars L Andersen; Santiago Bonanad; Felipe Querol; José Casaña.2021Research Group on Intelligent Data Analysis LaboratoryHaemophiliaVolume 27. Number 1.
M. Luz Sánchez-Sánchez; Anna Arnal-Gómez; Sara Cortes-Amador; Sofía Pérez-Alenda; Juan J. Carrasco; Assumpta Climent-Toledo; Gemma Victoria Espí-López and Maria-Arantzazu Ruescas-Nicolau.2021Research Group on Intelligent Data Analysis LaboratoryJournal Of Clinical MedicineVolume 10.
María García‐Dasí; Sofía Pérez‐Alenda; Juan J. Carrasco; Elena Marques‐Sule; Marta Aguilar‐Rodríguez; Noemí Moreno‐Segura; Cinta Gómez‐Tomás; Felipe Querol; Santiago Bonanad.2021Research Group on Intelligent Data Analysis LaboratoryHaemophiliaVolume 27. Number 3.
Ruescas-Nicolau, M.-A.; Sánchez-Sánchez, M.L.; Cortés-Amador, S.; Pérez-Alenda, S.; Arnal-Gómez, A.; Climent-Toledo, A.; Carrasco, J.J.2021Research Group on Intelligent Data Analysis LaboratoryInternational Journal Of Environmental Research And Public HealthVolume 18.
GARCIA-ROS R.; RUESCAS-NICOLAU M.A.; CEZÓN-SERRANO N.; CARRASCO J.J.; PÉREZ-ALENDA S.; SASTRE-ARBONA C.; SAN MARTIN-VALENZUELA C.; FLOR-RUFINO, C.; SÁNCHEZ-SÁNCHEZ ML.2021Research Group on Intelligent Data Analysis LaboratoryInternational Journal Of Environmental Research And Public HealthVolume 18.
Calatayud, J.; Martín-Cuesta, J.; Carrasco, J.J.; Pérez-Alenda, S.; Cruz-Montecinos, C.; Andersen, L.L.; Querol-Giner, F.; Casaña,J.2021Research Group on Intelligent Data Analysis LaboratoryJournal Of Clinical MedicineVolume 10. Number 12.
Mercè Balasch-Bernat; Sofía Pérez-Alenda; Juan J. Carrasco; Begoña Valls-Donderis; Lirios Dueñas; Laura Fuentes-Aparicio.2021Research Group on Intelligent Data Analysis LaboratoryInternational Journal Of Environmental Research And Public HealthVolume 18. Number 23.
Ana Chimeno-Hernández; Felipe Querol-Giner; Sofía Pérez-Alenda; Rodrigo Núñez-Cortés; Carlos Cruz-Montecinos; Juan J. Carrasco; Marta Aguilar-Rodríguez.2022Research Group on Intelligent Data Analysis LaboratoryHaemophiliaVolume 28. Number 3.
Cristina Campos-Villegas, Sofía Pérez-Alenda, Juan J. Carrasco, Celedonia Igual-Camacho, José Manuel Tomás-Miguel, Sara Cortés-Amador.2024Research Group on Intelligent Data Analysis LaboratoryJournal Of Hand TherapyVolume 37. Number 2.
Marques-Sule, E.; Chiva-Bartoll, O.; Carrasco, J.J.; Hernández-Guillén, D.; Pérez-Alenda, S.; Francisco-Garcés, X.; Sentandreu-Mañó, T.; Blesa, J.2022Research Group on Intelligent Data Analysis LaboratoryJournal Of Clinical MedicineVolume 11. Number 15.
Espi-Lopez GV, Ingles M, Carrasco-Fernandez JJ, Serra-Añó P, Copete-Fajardo L, Gonzalez-Gerez JJ, Saavedra-Hernandez M, Marques-Sule E.2022Effects of Foam Rolling vs. Manual Therapy in Patients with Tension-Type Headache: A Randomized Pilot StudyJournal Of Clinical MedicineVolume 11. Number 7.
Moreno-Segura, Noemí; Pérez-Alenda, Sofá; García-Dasí, María; Carrasco, Juan J.; Marqués-Sulé, Elena; Querol, Felipe; Bonanad, Santiago; Aguilar-Rodríguez, Marta.2023Research Group on Intelligent Data Analysis LaboratoryHaemophiliaVolume 29.
Elena Marques-Sule; Juan Luis Sánchez-González; Juan J. Carrasco; Sofía Pérez-Alenda; Trinidad Sentandreu-Mañó; Noemí Moreno-Segura; Natalia Cezón-Serrano; Regina Ruiz de Viñaspre-Hernández; Raúl Juárez-Vela; Elena Muñoz-Gómez.2023Research Group on Intelligent Data Analysis LaboratoryFrontiers In Public HealthVolume 11.
Anna Arnal-Gómez; Sara Cortés-Amador; Maria-Arantzazu Ruescas-Nicolau; Juan J. Carrasco; Sofía Pérez-Alenda; Ana Santamaría-Balfagón; M. Luz Sánchez-Sánchez.2023Research Group on Intelligent Data Analysis LaboratoryBiomedicinesVolume 11. Number 10.
Laura Fuentes-Aparicio, Sofia Pérez-Alenda, Begoña Valls-Donderis, Lirios Dueñas, Juan J. Carrasco, Mercè Balasch-Bernat.2024Research Group on Intelligent Data Analysis LaboratoryPhysical TherapyVolume 12. Number 104.
Martínez-Arnau FM; Núñez-Cortés R; Valderrama-Mejía JM; Cruz-Montecinos C; Carrasco JJ; Cortés-Amador S.2023Research Group on Intelligent Data Analysis LaboratoryJournal of Intellectual Disability Research
Cruz-Montecinos C; Valderrama-Mejías J; Martínez-Arnau FM; Carrasco JJ; Núñez-Cortés R; Cortés-Amador S.2024Research Group on Intelligent Data Analysis LaboratoryJournal of Intellectual Disability ResearchVolume 68. Number 1.
Sillero Sillero A, Ayuso Margañon R, Moreno-Segura N, Carrasco JJ, Atef H, Ayuso Margañon S, Marques-Sule E.2023Research Group on Intelligent Data Analysis LaboratoryHealthcareVolume 11. Number 19.
Cruz-Montecinos C, Pérez-Alenda S, Casaña J, Carrasco JJ, Andersen LL, López-Bueno R, Nuñez-Cortés R, Bonanad S, Querol F, Calatayud J.2023Research Group on Intelligent Data Analysis LaboratoryEuropean Journal of HaematologyVolume 110. Number 3.
Calatayud J, Ogrezeanu DC, Carrasco JJ, Martinez-Valdes E, Pérez-Alenda S, Cruz-Montecinos C, Andersen LL, Aagaard P, Suso-Martí L, Casaña J.2023Research Group on Intelligent Data Analysis LaboratoryEuropean Journal of HaematologyVolume 111. Number 1.
Daniel C Ogrezeanu; Laura López-Bueno; Enrique Sanchís-Sánchez; Juan J Carrasco; Ferran Cuenca-Martínez; Luis Suso-Martí; Rubén López-Bueno; Carlos Cruz-Montecinos; Eduardo Martinez-Valdes; José Casaña; Joaquín Calatayud.2024Research Group on Intelligent Data Analysis LaboratoryJournal of Strength and Conditioning ResearchVolume 38. Number 4.
Aguilar-Rodríguez M, Pérez-Alenda S, Carrasco JJ, Megías-Vericat JE, Bonanad S, Querol F, Chimeno-Hernández A.2024Research Group on Intelligent Data Analysis LaboratoryThrombosis ResearchVolume 244.
Journal Publications
- ContraerExpandirGOMEZ SANCHIS, JUANPDI-Catedratic/a d'UniversitatCoordinador/a Curs
Blasco J, Gutiérrez A, Alegre S, Cubero S, Gómez-Sanchis J, Alegre V, Moltó E(2018)Sistemas de visión artificial para la inspección automática de fruta procesada. Aplicación a gajos de satsuma y arilos de granada.Levante Agrícola(391), pp. 198 - 203. ISSN: 0457-6039
Alberto Urueña-López; Fernando Mateo; Julio Navío-Marco; José María Martínez-Martínez; Juan Gómez-Sanchís; Joan Vila Francés; Antonio José Serrano-López(2019)Research Group on Intelligent Data Analysis LaboratoryComputers & Security, 83, pp. 38 - 51. ISSN: 0167-4048
Sandra Munera, Nuria Aleixos, Cristina Besada, Juan Gómez-Sanchís, Alejandra Salvador, Sergio Cubero, Pau Talens, José Blasco(2019)Research Group on Intelligent Data Analysis LaboratoryJournal of Food Engineering, 263, pp. 173 - 180. ISSN: 0260-8774
González-González, M.G., Gómez-Sanchis J, Blasco, J. , Soria-Olivas, E., Chueca, P.(2020)Research Group on Intelligent Data Analysis LaboratoryAgronomy-Basel, 10(128), pp. 1 - 13. ISSN: 2073-4395
Munera, S., Gómez-Sanchís, J., Aleixos, N., Vila-Francés, J., Colelli, G., Cubero, S., Soler, E., Blasco, J.(2021)Research Group on Intelligent Data Analysis LaboratoryPostharvest Biology and Technology(171), pp. 1 - 8. ISSN: 0925-5214
Sandra Munera, Alejandro Rodríguez‐Ortega, Nuria Aleixos, Sergio Cubero, Juan Gómez‐Sanchis, José Blasco(2021)Research Group on Intelligent Data Analysis LaboratoryFoods, 10(2170), pp. 1 - 12. ISSN: 2304-8158
Oscar J. Pellicer-Valero; Antonio Fazari; Juan Gómez-Sanchís; Bruno Bernardi; Sergio Cubero; Souraya Benalia; Giuseppe Zimbalatti; Jose Blasco(2021)Research Group on Intelligent Data Analysis LaboratoryComputers and Electronics in Agriculture, 187, p. 106252. ISSN: 0168-1699
Fernando Mateo, Juan José Garcés-Iniesta, Berthold Jenninger, Juan Gómez-Sanchís, Emilio Soria-Olivas, Paolo Chiggiato(2021)Research Group on Intelligent Data Analysis LaboratoryExpert Systems With Applications, 178(114959), pp. 1 - 10. ISSN: 0957-4174
di Antonio Fazari, Oscar J. Pellicer-Valero, Juan Gómez-Sanchıs, Bruno Bernardi, Sergio Cubero, Souraya Benalia, Giuseppe Zimbalatti Jose Blasco(2021)Riconoscere la lebbra con l'intelligenza artificiale.Olivo e Olio(6), pp. 38 - 41. ISSN: 1127-0713
Carlos Flores-Garrigós; Juan Vicent-Camisón; Juan J. Garcés-Iniesta; Emilio Soria-Olivas; Juan Gómez-Sanchís; Fernando Mateo(2021)Research Group on Intelligent Data Analysis LaboratoryApplied Sciences-Basel, 11(24). ISSN: 2076-3417
Iván Vallés-Pérez; Emilio Soria-Olivas; Marcelino Martínez-Sober; Antonio J Serrano-López; Juan Gómez-Sanchís; Fernando Mateo(2022)Research Group on Intelligent Data Analysis LaboratoryExpert Systems With Applications, 201(Septiembre 2022). ISSN: 0957-4174
Vallés-Pérez, Iván; Soria-Olivas, Emilio; Martínez-Sober, Marcelino; Serrano-López, Antonio J.; Vila-Francés, Joan; Gómez-Sanchís, Juan(2023)Research Group on Intelligent Data Analysis LaboratoryEngineering Applications of Artificial Intelligence, 120(105863). ISSN: 0952-1976
Velásquez, C., Aleixos, N., Gómez-Sanchís, J., Cubero, S., Prieto, F., Blasco,(2024)Enhancing anthracnose detection in mango at early stages using hyperspectral imaging and machine learning.Postharvest Biology and Technology(209), pp. 1 - 13. ISSN: 0925-5214
Matteo Anello; Fernando Mateo; Bruno Bernardi; Angelo Maria Giuffrè; Jose Blasco; Juan Gómez-Sanchis(2024)Research Group on Intelligent Data Analysis LaboratoryIndustrial Crops and Products, 220, p. 119233. ISSN: 0926-6690
Salvador Castillo-Girones ; Sandra Munera ; Marcelino Martínez-Sober ; José Blasco; Sergio Cubero ; Juan Gómez-Sanchis(2025)Research Group on Intelligent Data Analysis LaboratoryComputers and Electronics in Agriculture. ISSN: 0168-1699
Fernando Mateo ; Joan Vila-Francés ; Emilio Soria-Olivas ; Marcelino Martínez-Sober ; Juan Gómez-Sanchis ; Antonio José Serrano-López(2025)Research Group on Intelligent Data Analysis LaboratoryApplied Sciences-Basel. ISSN: 2076-3417
Salvador Castillo-Gironés; Angel González; Sandra Munera; Marcelino Martínez-Sober; Sergio Cubero; Nariane Q. Vilhena; Ivan Blanco-Álvarez; Juan Gómez-Sanchis(2025)Firmness classification in 'Rojo Brillante' persimmon fruit after cold storage using hyperspectral imaging and deep learning with variational autoencoders.Lwt-Food Science And Technology, 229(118163), pp. 1 - 11. ISSN: 0023-6438
Salvador Castillo-Girones; Quentin Arnould; Juan Gómez-Sanchis; Jose Blasco; Olivier Pigeon; Vincent Baeten; Juan Antonio Fernández Pierna(2025)Raman spectroscopy for multi-label identification of common apple pesticide mixtures using CNNs and gradient-weighted class activation mapping.Food Control, 178(111460), pp. 1 - 12. ISSN: 0956-7135
Ivan Blanco-Alvarez; Paula Peris-Costa; Marcelino Martínez-Sober; Juan Gómez-Sanchis; Jose Blasco(2025)Research Group on Intelligent Data Analysis LaboratoryExpert Systems With Applications, 301(130517), pp. 1 - 16. ISSN: 0957-4174
Journal Publications
- ContraerExpandirGRIMALDO MORENO, FRANCISCOPDI-Catedratic/a d'Universitat
Francisco Grimaldo; Emilia López-Iñesta; Manel Perucho; Ernest Querol.2016Research Group on Intelligent Data Analysis LaboratoryTreballs de Sociolinguística Catalana. BarcelonaNumber 26.
Ramani Wijesinha-Bettoni; Kalpana Shankar; Ana Marusic; Francisco Grimaldo; Marco Seeber; Bruce Edmonds; Chiara Franzoni; Flaminio Squazzoni.2016Reviewing the review process: New Frontiers of Peer ReviewXjenzaVolume 4. Number 1.
Niccolò Casnici; Francisco Grimaldo; Nigel Gilbert; Flaminio Squazzoni.2017Research Group on Intelligent Data Analysis LaboratoryJournal Of The Association For Information Science And TechnologyVolume 7. Number 68.
Héctor Xavier Limón Riaño; Alejandro Guerra-Hernández; Nicandro Cruz-Ramírez; Héctor-Gabriel Acosta-Mesa; Francisco Grimaldo.2017Research Group on Intelligent Data Analysis LaboratoryPattern Recognition LettersNumber 93.
Eva Armengol; Dionís Boixader; Francisco Grimaldo.2017Special Issue on Pattern Recognition Techniques in Data MiningPattern Recognition LettersNumber 93.
Eva Armengol; Dionís Boixader; Francisco Grimaldo.2017Logical methods in artificial intelligence applicationsJournal Of Applied LogicNumber 23.
Flaminio Squazzoni; Francisco Grimaldo; Ana Marusic.2017Journals could share peer-review dataNatureNumber 546.
Niccolò Casnici; Francisco Grimaldo; Nigel Gilbert; Pierpaolo Dondio; Flaminio Squazzoni.2017Research Group on Intelligent Data Analysis LaboratoryScientometricsVolume 1. Number 113.
Manel Perucho i Pla; Francisco Grimaldo; Clara Miralles Vila; Ernest Querol Puig; Emilia López Iñesta.2017Research Group on Intelligent Data Analysis LaboratoryLlengua, societat i comunicacióNumber 15.
Francisco Girmaldo Moreno; Cristian R. Sánchez Curto; Emilia López Iñesta Joan Evarist Vicente i Girona; Ernest Querol Puig.2017Research Group on Intelligent Data Analysis LaboratoryLlengua, societat i comunicacióNumber 15.
Emilia López-Iñesta; Francisco Grimaldo; Miguel Arevalillo-Herráez.2017Research Group on Intelligent Data Analysis LaboratoryPattern Recognition LettersVolume 93.
Giangiacomo Bravo; Mike Farjama; Francisco Grimaldo; Aliaksandr Birukou; Flaminio Squazzoni.2018Hidden connections: Network effects on editorial decisions in four computer science journalsJournal Of InformetricsVolume 1. Number 12.
Emilia López-Iñesta; Francisco Grimaldo; Miguel Arevalillo-Herráez.2017Research Group on Intelligent Data Analysis LaboratoryInternational Journal of Pattern Recognition and Artificial IntelligenceVolume 31. Number 8.
Francisco Grimaldo; Ana Maru¿ić; Flaminio Squazzoni.2018Research Group on Intelligent Data Analysis LaboratoryPlos OneVolume 13. Number 2.
Xavier Limón; Alejandro Guerra-Hernández; Nicandro Cruz-Ramı́rez; Francisco Grimaldo.2019Research Group on Intelligent Data Analysis LaboratoryKnowledge And Information SystemsVolume 60. Number 1.
Federico Bianchi; Francisco Grimaldo; Giangiacomo Bravo; Flaminio Squazzoni.2018Research Group on Intelligent Data Analysis LaboratoryScientometricsVolume 116. Number 3.
Francisco Grimaldo; Mario Paolucci; Jordi Sabater-Mir.2018Research Group on Intelligent Data Analysis LaboratoryScientometricsVolume 116. Number 3.
Federico Bianchi; Francisco Grimaldo; Flaminio Squazzoni.2019Research Group on Intelligent Data Analysis LaboratoryJournal Of InformetricsVolume 13. Number 1.
Emilia López-Iñesta; Daniel García-Costa; Francisco Grimaldo; Eduardo Vidal-Abarca.2018Research Group on Intelligent Data Analysis LaboratoryMagisterNumber 30.
David G. Pina; Lana Barać; Ivan Buljan; Francisco Grimaldo; Ana Maru¿ić.2019Research Group on Intelligent Data Analysis LaboratoryPlos OneVolume 14. Number 2.
Pierpaolo Dondio; Niccolò Casnici; Francisco Grimaldo; Nigel Gilbert; Flaminio Squazzoni.2019Research Group on Intelligent Data Analysis LaboratoryJournal Of InformetricsVolume 13. Number 2.
Giangiacomo Bravo; Francisco Grimaldo; Emilia López-Iñesta; Bahar Mehmani; Flaminio Squazzoni.2019Research Group on Intelligent Data Analysis LaboratoryNature CommunicationsVolume 10. Number 322.
I.Coma;A. Fuertes; I.García; F.Grimaldo; S.Rueda.2019Research Group on Intelligent Data Analysis LaboratoryMètode - Revista de la Universitat de València
Flaminio Squazzoni; Petra Ahrweiler; Tiago Barros; Federico Bianchi; Aliaksandr Birukou; Harry J. J. Blom; Giangiacomo Bravo; Stephen Cowley; Virginia Dignum; Pierpaolo Dondio; Francisco Grimaldo; Lynsey Haire; Jason Hoyt; Phil Hurst; Rachael Lammey; Catriona MacCallum; Ana Maru¿ić; Bahar Mehmani; Hollydawn Murray; Duncan Nicholas; Giorgio Pedrazzi; Iratxe Puebla; Peter Rodgers; Tony Ross-Hellauer; Marco Seeber; Kalpana Shankar; Joris Van Rossum; Michael Willis.2020Research Group on Intelligent Data Analysis LaboratoryNatureNumber 578.
Ivan Buljan; Daniel Garcia-Costa; Francisco Grimaldo; Flaminio Squazzoni; Ana Maru¿ić.2020Research Group on Intelligent Data Analysis LaboratoryElife
David Martínez-Galicia; Alejandro Guerra-Hernández; Nicandro Cruz-Ramírez; Xavier Limón; Francisco Grimaldo.2020Research Group on Intelligent Data Analysis LaboratoryMathematical and Computational ApplicationsVolume 25. Number 3.
Maria T. Sanz; Emilia López-Iñesta; Daniel Garcia-Costa; Francisco Grimaldo.2020Research Group on Intelligent Data Analysis LaboratoryMathematicsVolume 8. Number 9.
Flaminio Squazzoni; Giangiacomo Bravo; Mike Farjam; Ana Marusic; Bahar Mehmani; Michael Willis; Aliaksandr Birukou; Pierpaolo Dondio; Francisco Grimaldo.2021Research Group on Intelligent Data Analysis LaboratoryScience AdvancesVolume 7. Number 2.
Alejandro Platas-López; Alejandro Guerra-Hernández; Francisco Grimaldo.2021Research Group on Intelligent Data Analysis LaboratoryJasss-The Journal of Artificial Societies and Social SimulationVolume 24. Number 1.
Flaminio Squazzoni;Giangiacomo Bravo;Francisco Grimaldo;Daniel García-Costa;Mike Farjam;Bahar Mehmani.2021Research Group on Intelligent Data Analysis LaboratoryPlos OneVolume 16. Number 10.
Daniel Garcia-Costa; Anabel Forte; Emilia López-Iñesta; Flaminio Squazzoni; Francisco Grimaldo.2022Research Group on Intelligent Data Analysis LaboratoryRoyal Society Open ScienceVolume 9. Number 9.
Antonio Cutillas; Maria T. Sanz; Emilia López-Iñesta; Daniel Garcia-Costa: Francisco Grimaldo.2022Research Group on Intelligent Data Analysis LaboratoryFormación del Profesorado e Investigación en Educación MatemáticaVolume 14.
Daniel Garcıa-Costa; Flaminio Squazzoni; Bahar Mehmani; Francisco Grimaldo.2022Research Group on Intelligent Data Analysis LaboratoryPeerjVolume 10.
Federico Bianchi; Daniel García-Costa; Francisco Grimaldo; Flaminio Squazzoni.2022Research Group on Intelligent Data Analysis LaboratoryJournal Of InformetricsVolume 16. Number 3.
Emilia López-Iñesta; Miguel Ángel Queiruga-Dios; Daniel García-Costa; Francisco Grimaldo.2022Research Group on Intelligent Data Analysis LaboratoryMètode Annual ReviewVolume 12.
Emilia López-Iñesta; Maria T. Sanz; Anabel Forte; Miguel Ángel Queiruga-Dios; Daniel García-Costa; Francisco Grimaldo.2023Research Group on Intelligent Data Analysis LaboratoryConradoVolume 19. Number 90.
Inmaculada Coma; Francisco Grimaldo; Daniel Garcia-Costa; Emilia López-Iñesta.2022La ludificación como instrumento para el gobierno abierto: experiencia en la ciudad de ValenciaTerra (Valencia)Number 11.
Adrian Suarez; Daniel García-Costa; Joaquin Perez; Emilia López-Iñesta; Francisco Grimaldo; Jose Torres.2023Research Group on Intelligent Data Analysis LaboratorySustainability (Basel)Volume 15. Number 18.
Emilia López-Iñesta; Inmaculada Coma; Daniel Garcia-Costa; Francisco Grimaldo.2023Research Group on Intelligent Data Analysis LaboratoryTechno ReviewVolume 13. Number 14.
Jakov Matas; Ru¿ica Tokalić; Daniel García-Costa; Emilia López-Iñesta; Elena Álvarez-García; Francisco Grimaldo; Ana Maru¿ić.2023Research Group on Intelligent Data Analysis LaboratoryScientific ReportsVolume 13.
Daniel García-Costa; Francisco Grimaldo; Giangiacomo Bravo; Bahar Mehmani; Flaminio Squazzoni.2024Research Group on Intelligent Data Analysis LaboratoryScientometricsVolume 129.
Andrijana Perković Palo¿; Antonija Mijatović; Ivan Buljan; Daniel Garcia-Costa; Elena Álvarez-García; Francisco Grimaldo; Ana Maru¿ić.2023Research Group on Intelligent Data Analysis LaboratoryScientometricsVolume 128.
Alejandro Platas-López; Alejandro Guerra-Hernández; Francisco Grimaldo; Nicandro Cruz-Ramírez; Efrén Mezura-Montes; Marcela Quiroz-Castellanos.2023Research Group on Intelligent Data Analysis LaboratorySoftwarexVolume 23.
Elena Álvarez-García; Daniel García-Costa; Sandra Paniagua; Julian Vicens; Joan Vila-Francés; Francisco Grimaldo.2024Research Group on Intelligent Data Analysis LaboratoryInternational Journal Of Computational Intelligence SystemsVolume 17.
David Martínez-Galicia; Alejandro Guerra-Hernández; Francisco Grimaldo; Nicandro Cruz-Ramírez; Xavier Limón.2024Research Group on Intelligent Data Analysis LaboratorySoftwarexVolume 26.
Ivan Buljan; Daniel Garcia-Costa; Francisco Grimaldo; Richard A. Klein; Marjan Bakker; Ana Marusić.2024Research Group on Intelligent Data Analysis LaboratoryJournal Of InformetricsVolume 18. Number 3.
Marco Venturini; Daniel García-Costa; Elena Álvarez-García; Francisco Grimaldo; Flaminio Squazzoni.2025Research Group on Intelligent Data Analysis LaboratoryPlos OneVolume 20. Number 8.
Journal Publications
Ariadna Fuertes; Francisco Grimaldo.,2016.Motivación, participación y aprendizaje del alumnado mediante el uso de herramientas de respuesta de audiencia..TIC actualizadas para una nueva docencia universitaria...
Ariadna Fuertes Seder; Emilia López-Iñesta; Francisco Grimaldo Moreno.,2017.Aumento de la Motivación y predisposición al Aprendizaje a través de las nuevas tecnologías y la gamificación: un caso de estudio..I Jornades CTEM de la Comunitat Valenciana...
Alejandro Platas-López; Alejandro Guerra-Hernández; Nicandro Cruz-Ramírez; Marcela Quiroz-Castellanos; Francisco Grimaldo; Mario Paolucci; Federico Cecconi.,2020.Towards an Agent-Based Model for the Analysis of Macroeconomic Signals..Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications. Studies in Computational Intelligence.Volume. 862..
Emilia López-Iñesta; María T. Sanz; Daniel García-Costa; Francisco Grimaldo.,2021.Estudio exploratorio para el diseño de un sistema informático aplicado a la resolución de problemas de matemáticas..Desafíos de la investigación y la innovación educativa ante la sociedad inclusiva...
María Diez-Ojeda; Emilia López-Iñesta; Daniel Bruno; Francisco Grimaldo; Miguel Ángel Queiruga-Dios.,2020.Guía para una ciudadanía sostenible. Vigilantes del aire. Unidad didáctica.....
Emilia López-Iñesta; Maria T. Sanz; Daniel Garcia-Costa; Francisco Grimaldo.,2021.Propuesta para cuantificar la habilidad lectora de problemas aritméticos a través de un entorno tecnológico..XI Simposio de Matemática y Educación Matemática, el X Congreso Internacional de Matemática asistida por Computador y el I Simposio de Competiciones Matemáticas.Volume. 8 Number. 1..
Maria T. Sanz; Emilia López-Iñesta; Daniel Garcia; Francisco Grimaldo.,2021.Estudio longitudinal de tendencia acerca de la complejidad del enunciado y el desempeño de alumnado de nivel secundario con problemas verbales de comparación multiplicativa..III Encuentro matemático del Caribe...
David Martínez-Galicia; Alejandro Guerra-Hernández; Xavier Limón; Nicandro Cruz-Ramírez; Francisco Grimaldo.,2022.Extension of Windowing as a Learning Technique in Artificial Noisy Domains..New Perspectives on Hybrid Intelligent System Design based on Fuzzy Logic, Neural Networks and Metaheuristics.Volume. 1050..
Emilia López-Iñesta; Maria T. Sanz; Daniel Garcia-Costa; Francisco Grimaldo.,2022.Blended &Data-DrivenLearning:ateachinginnovationproject..Stat.Edu'21 : New Perspectives in Statistics Education : Proceedings of the International Conference Stat.Edu'21...
Emilia López-Iñesta; María T. Sanz; Daniel García-Costa; Francisco Grimaldo.,2022.Grafos y tecnología en el proceso de enseñanza-aprendizaje de problemas de matemáticas..Libro de actas del Congreso CUICIID 2022.Volume. 1..
Daniel Garcia-Costa; Emilia López-Iñesta; Maria T. Sanz; Francisco Grimaldo.,2021.Modelos de docencia híbrida en el proceso de enseñanza-aprendizaje de la didáctica de las matemáticas..XI Simposio de Matemática y Educación Matemática, el X Congreso Internacional de Matemática asistida por Computador y el I Simposio de Competiciones Matemáticas.Volume. 8 Number. 1..
Francisco Grimaldo; Emilia López-Iñesta; Daniel García-Costa.,2022.Variables que influeixen en els resultats acadèmics i en els usos lingüístics de l'alumnat de 4t d'ESO. Curs 2020-2021.....
Francisco Grimaldo; Emília López-Iñesta.,2021.Tipologia dels centres educatius segons el nivell de complexitat.....
Elena Álvarez-García; Daniel García-Costa; Sandra Paniagua; Francisco Grimaldo; María Santágueda-Villanueva; María T. Sanz; Emilia López-Iñesta.,2025.Análisis de la traza digital de la resolución de problemas aritmético-verbales..INNOVACIÓN EN EDUCACIÓN SUPERIOR: RETOS Y OPORTUNIDADES DE UNA REALIDAD CAMBIANTE...
MARÍA T. SANZ; FRANCISCO GRIMALDO; DANIEL GARCÍA-COSTA; EMILIA LÓPEZ-IÑESTA.,2024.EVALUACIÓN FORMATIVA Y RESOLUCIÓN DE PROBLEMAS ARITMÉTICO-VERBALES EN LA FORMACIÓN DE PROFESORADO UNIVERSITARIO..EMPODERANDO LA DOCENCIA EN LA ERA DIGITAL: INNOVACIÓN, TECNOLOGÍA Y RENOVACIÓN PEDAGÓGICA...
Emilia López-Iñesta, Daniel García-Costa, Maria T. Sanz, Francisco Grimaldo.,2024.DE LA INNOVACIÓN A LA INVESTIGACIÓN A TRAVÉS DEL ANÁLISIS DE DATOS DE SOLUCIONES TECNOLÓGICAS EDUCATIVAS..TÉCNICAS INMERSIVAS Y APLICACIONES TECNOLÓGICAS PARA LA INNOVACIÓN...
Other publications
- ContraerExpandirMAGDALENA BENEDICTO, JOSE RAFAELPDI-Titular d'UniversitatDega/Degana / Director/a Ets
Sonia Pérez-Díaz; Xin-Yu Wang; Li-Yong Shen; Marian Fernández de Sevilla; J. Rafael Magdalena-Benedicto(2026)Research Group on Intelligent Data Analysis LaboratoryJournal of Algebra, 689, pp. 578 - 609. ISSN: 0021-8693
Herreros-Martínez, A.; Magdalena-Benedicto, R.; Vila-Francés, J.; Serrano-López, A.J.; Pérez-Díaz, S.; Martínez-Herráiz, J.J.(2025)Research Group on Intelligent Data Analysis LaboratoryInformation (Switzerland), 16(3), pp. 177-1 - 19. ISSN: 2078-2489
Sonia Pérez-Díaz; Li-Yong Shen; Xin-Yu Wang; Rafael Magdalena-Benedicto(2025)Research Group on Intelligent Data Analysis LaboratoryComputer Aided Geometric Design, 117(102422), pp. 1 - 17. ISSN: 0167-8396
Adriá Costa-Roig; José Antonio March-Villalba; Albert Costa-Roig; Irene Diéguez Hernández-Vaquero, Alba Polo Rodrigo; María Angeles Conca Baena; Rafael Magdalena-Benedicto; José Luís Ruíz Cerdá;, Agustín Serrano Durbá(2025)Research Group on Intelligent Data Analysis LaboratoryJournal of Pediatric Surgery, 60(9), p. 162407. ISSN: 0022-3468
Andrea Bonetti; Adrián Salcedo-Puche; Joan Vila-Francés; Xaro Benavent-Garcia; Emilio Fernández-Vargas; Rafael Magdalena-Benedito; Emilio Soria-Olivas(2025)Research Group on Intelligent Data Analysis LaboratoryTourism and Hospitality, 6(5), pp. 266-1 - 21. ISSN: 2673-5768
Rafael Magdalena-Benedicto; Sonia Pérez-Díaz; Marian Fernández de Sevilla(2025)Research Group on Intelligent Data Analysis LaboratoryRevista de la Real Academia de Ciencias Exactas Fisicas y Naturales Serie a-Matematicas, 120(22), pp. 1 - 20. ISSN: 1578-7303
Nikolai Bolshakov; Alberto Celani; Vladimir Badenko; Rafael Magdalena Benedicto(2024)Research Group on Intelligent Data Analysis LaboratoryUrban Science, 8(2), pp. 66-1 - 66-19. ISSN: 2413-8851
Magdalena-Benedicto, R.; de Sevilla, M.A.F. ; Pérez-Díaz, S.(2024)Research Group on Intelligent Data Analysis LaboratorySao Paulo Journal of Mathematical Sciences. ISSN: 1982-6907
Alejandro Dionis-Ros; Joan Vila-Francés; Rafael Magdalena-Benedito; Fernando Mateo; Antonio J. Serrano-López(2024)Research Group on Intelligent Data Analysis LaboratoryApplied Sciences-Basel, 14(23), p. 11075. ISSN: 2076-3417
Marian Fernández, Rafael Magdalena, Sonia Pérez(2023)Research Group on Intelligent Data Analysis LaboratoryRevista de la Real Academia de Ciencias Exactas Fisicas y Naturales Serie a-Matematicas, 117. ISSN: 1578-7303
Elena Campo-Montalvo; Marián Fernández de Sevilla; J. Rafael Magdalena Benedicto; Sonia Pérez-Díaz(2023)Research Group on Intelligent Data Analysis LaboratorySymmetry-Basel, 15(9), p. 69. ISSN: 2073-8994
Elena Campo; Marian Fernández; Sonia Pérez, Rafael Magdalena(2023)Research Group on Intelligent Data Analysis LaboratoryAnnals of Mathematics and Artificial Intelligence. ISSN: 1012-2443
Marian Fernández; Sonia Pérez; Rafael Magdalena(2023)Research Group on Intelligent Data Analysis LaboratoryContemporary mathematics. ISSN: 0271-4132
Yongcheng Ding; Xi Chen; Rafael Magdalena-Benedito; José D. Martín-Guerrero(2023)Research Group on Intelligent Data Analysis LaboratoryMachine Learning-Science And Technology, 4, pp. 025020 (1) - 025020 (9). ISSN: 2632-2153
R. Magdalena; S. Pérez; Adriá Costa(2023)New trends in geometry: a Machine Learning Approach.Mathematics. ISSN: 2227-7390
Rafael Magdalena-Benedicto; Sonia Pérez-Díaz; Adriá Costa- Roig(2023)Research Group on Intelligent Data Analysis LaboratoryMathematics, 11, p. 2576. ISSN: 2227-7390
Sonia Pérez-Díaz, Rafael Magdalena-Benedicto, Marian Fernández de Sevilla(2023)Research Group on Intelligent Data Analysis LaboratoryJournal of Computational and Applied Mathematics(115468). ISSN: 0377-0427
Yongcheng Ding; José D. Martín-Guerrero; Yujing Song; Rafael Magdalena-Benedicto; Xi Chen(2022)Research Group on Intelligent Data Analysis LaboratoryPhysical Review Research, 4, pp. 013213 (1) - 013213 (16). ISSN: 2643-1564
Joan Vicent Sánchez-Ortí; Vicent Balanzá-Martínez; Patricia Correa-Ghisays; Gabriel Selva-Vera; Joan Vila-Francés; Rafael Magdalena-Benedito; Constanza San-Martin; Víctor M Victor; Irene Escribano-Lopez; Antonio Hernández-Mijares; Juliana Vivas-Lalinde; Benedicto Crespo-Facorro; Rafael Tabarés-Seisdedos(2022)Research Group on Intelligent Data Analysis LaboratoryActa Psychiatrica Scandinavica, 146(3), pp. 215 - 226. ISSN: 0001-690X
Marta Garés-Caballer; Joan Vicent Sánchez-Ortí; Patricia Correa-Ghisays; Vicent Balanzá-Martínez; Gabriel Selva Vera; Joan Vila-Francés; Rafael Magdalena- Benedito; Constanza San Martín Valenzuela; Victor M Victor; Irene Escribano-Lopez; Antonio Hernandez-Mijares; Juliana Vivas-Lalinde; Eduard Vieta; Juan C Leza; Rafael Tabarés-Seisdedos(2022)Research Group on Intelligent Data Analysis LaboratoryFrontiers In Neurology, 13, p. 883927. ISSN: 1664-2295
Antonio Ferrer-Sánchez; Jose Bagan; Joan Vila-Francés; Rafael Magdalena-Benedito; Leticia Bagan-Debon(2022)Research Group on Intelligent Data Analysis LaboratoryOral Oncology, 132, pp. 105967-1 - 8. ISSN: 1368-8375
E. Campo-Montalvo; M. Fernández de Sevilla; R. Magdalena Benedicto; S. Pérez-Díaz(2022)Research Group on Intelligent Data Analysis LaboratoryComputer Aided Geometric Design, 98. ISSN: 0167-8396
Patricia Correa-Ghisays; Joan Vicent Sánchez-Ortí; Vicent Balanzá-Martínez; Gabriel Selva-Vera; Joan Vila-Francés; Rafael Magdalena-Benedito; Victor M. Victor; Irene Escribano-López; Antonio Hernández-Mijares; Juliana Vivas-Lalinde; Constanza San-Martín; Benedicto Crespo-Facorro; Rafael Tabarés-Seisdedos(2021)Research Group on Intelligent Data Analysis LaboratoryJournal of Affective Disorders, 300, pp. 99 - 108. ISSN: 0165-0327
Raquel García-García; Juan F. Guerrero; Manuel Lavilla-Miyasato; Jose R. Magdalena; Juan F. Ordoño; Marta Llansola; Carmina Montoliu; Vicent Teruel-Martí; Vicente Felipo(2020)Research Group on Intelligent Data Analysis LaboratoryJournal of Neurochemistry, 40(26), pp. 56 - 70. ISSN: 0022-3042
Yongcheng Ding; José D. Martín-Guerrero; Rafael Magdalena-Benedicto; Mikel Sanz; Xi Chen; Enrique Solano(2020)Research Group on Intelligent Data Analysis LaboratoryPhysical Review Letters, 124(140504), pp. 1 - 6. ISSN: 0031-9007
Yongcheng Ding; José D. Martín-Guerrero; Rafael Magdalena-Benedicto; Mikel Sanz; Xi Chen; Enrique Solano(2020)Research Group on Intelligent Data Analysis LaboratoryPhysical Review Letters, 124(140504), pp. 1 - 6. ISSN: 0031-9007
Lorena Rodríguez García; José Rafael Magdalena Benedito(2016)Research Group on Intelligent Data Analysis LaboratoryLa revista Icono 14, 14(1), pp. 24 - 49. ISSN: 1697-8293
J Aguero ;J J Garces-Iniesta ;M Calvo-Asensio ;J Vila-Frances ;A Moreno ;S Lozano-Edo ; M Gil-Molina ;G Murillo-Varona ;G Rad-Garcia ;M Rodriguez-Serrano; F Buendia-Fuentes ;A Osa-Saez ;M A Arnau-Vives ;R Magdalena-Benedito ;L Martinez-Dolz(2026)Research Group on Intelligent Data Analysis LaboratoryEuropean Heart Journal-Cardiovascular Imaging, 27(supplement 1). ISSN: 2047-2404
Yongcheng Ding; Xi Chen; Rafael Magdalena-Benedito; José D Martín-Guerrero(2023)Closed-loop control of a noisy qubit with reinforcement learning.Machine Learning-Science And Technology, 4(2). ISSN: 2632-2153
Sánchez-Ortí JV, Correa-Ghisays P, Balanzá-Martínez V, Selva-Vera G, Vila-Francés J, Magdalena-Benedito R, San-Martin C, Victor VM, Escribano-Lopez I, Hernandez-Mijares A, Vivas-Lalinde J, Crespo-Facorro B, Tabarés-Seisdedos R.(2023)Research Group on Intelligent Data Analysis LaboratoryProgress in Neuro-Psychopharmacology & Biological Psychiatry. ISSN: 0278-5846
Adrià Costa-Roig; José Antonio March-Villalba; Albert Costa-Roig; Irene Diéguez Hernández-Vaquero; Alba Polo Rodrigo; Conca Baena María Ángeles; Rafael Magdalena-Benedicto; José Luís Ruíz Cerdá; Agustín Serrano Durbá(2025)Research Group on Intelligent Data Analysis LaboratoryJournal of Pediatric Surgery, 0(0), p. 162407. ISSN: 0022-3468
Sonia Pérez-Díaz; Xin-Yu Wang; Li-Yong Shen; Marian Fernández de Sevilla; J. Rafael Magdalena-Benedicto(2026)Research Group on Intelligent Data Analysis LaboratoryJournal of Algebra, 689, pp. 578 - 609. ISSN: 0021-8693
Herreros-Martínez, A.; Magdalena-Benedicto, R.; Vila-Francés, J.; Serrano-López, A.J.; Pérez-Díaz, S.; Martínez-Herráiz, J.J.(2025)Research Group on Intelligent Data Analysis LaboratoryInformation (Switzerland), 16(3), pp. 177-1 - 19. ISSN: 2078-2489
Sonia Pérez-Díaz; Li-Yong Shen; Xin-Yu Wang; Rafael Magdalena-Benedicto(2025)Research Group on Intelligent Data Analysis LaboratoryComputer Aided Geometric Design, 117(102422), pp. 1 - 17. ISSN: 0167-8396
Adriá Costa-Roig; José Antonio March-Villalba; Albert Costa-Roig; Irene Diéguez Hernández-Vaquero, Alba Polo Rodrigo; María Angeles Conca Baena; Rafael Magdalena-Benedicto; José Luís Ruíz Cerdá;, Agustín Serrano Durbá(2025)Research Group on Intelligent Data Analysis LaboratoryJournal of Pediatric Surgery, 60(9), p. 162407. ISSN: 0022-3468
Andrea Bonetti; Adrián Salcedo-Puche; Joan Vila-Francés; Xaro Benavent-Garcia; Emilio Fernández-Vargas; Rafael Magdalena-Benedito; Emilio Soria-Olivas(2025)Research Group on Intelligent Data Analysis LaboratoryTourism and Hospitality, 6(5), pp. 266-1 - 21. ISSN: 2673-5768
Rafael Magdalena-Benedicto; Sonia Pérez-Díaz; Marian Fernández de Sevilla(2025)Research Group on Intelligent Data Analysis LaboratoryRevista de la Real Academia de Ciencias Exactas Fisicas y Naturales Serie a-Matematicas, 120(22), pp. 1 - 20. ISSN: 1578-7303
Nikolai Bolshakov; Alberto Celani; Vladimir Badenko; Rafael Magdalena Benedicto(2024)Research Group on Intelligent Data Analysis LaboratoryUrban Science, 8(2), pp. 66-1 - 66-19. ISSN: 2413-8851
Magdalena-Benedicto, R.; de Sevilla, M.A.F. ; Pérez-Díaz, S.(2024)Research Group on Intelligent Data Analysis LaboratorySao Paulo Journal of Mathematical Sciences. ISSN: 1982-6907
Alejandro Dionis-Ros; Joan Vila-Francés; Rafael Magdalena-Benedito; Fernando Mateo; Antonio J. Serrano-López(2024)Research Group on Intelligent Data Analysis LaboratoryApplied Sciences-Basel, 14(23), p. 11075. ISSN: 2076-3417
Marian Fernández, Rafael Magdalena, Sonia Pérez(2023)Research Group on Intelligent Data Analysis LaboratoryRevista de la Real Academia de Ciencias Exactas Fisicas y Naturales Serie a-Matematicas, 117. ISSN: 1578-7303
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Elena Campo; Marian Fernández; Sonia Pérez, Rafael Magdalena(2023)Research Group on Intelligent Data Analysis LaboratoryAnnals of Mathematics and Artificial Intelligence. ISSN: 1012-2443
Marian Fernández; Sonia Pérez; Rafael Magdalena(2023)Research Group on Intelligent Data Analysis LaboratoryContemporary mathematics. ISSN: 0271-4132
Yongcheng Ding; Xi Chen; Rafael Magdalena-Benedito; José D. Martín-Guerrero(2023)Research Group on Intelligent Data Analysis LaboratoryMachine Learning-Science And Technology, 4, pp. 025020 (1) - 025020 (9). ISSN: 2632-2153
R. Magdalena; S. Pérez; Adriá Costa(2023)New trends in geometry: a Machine Learning Approach.Mathematics. ISSN: 2227-7390
Rafael Magdalena-Benedicto; Sonia Pérez-Díaz; Adriá Costa- Roig(2023)Research Group on Intelligent Data Analysis LaboratoryMathematics, 11, p. 2576. ISSN: 2227-7390
Sonia Pérez-Díaz, Rafael Magdalena-Benedicto, Marian Fernández de Sevilla(2023)Research Group on Intelligent Data Analysis LaboratoryJournal of Computational and Applied Mathematics(115468). ISSN: 0377-0427
Yongcheng Ding; José D. Martín-Guerrero; Yujing Song; Rafael Magdalena-Benedicto; Xi Chen(2022)Research Group on Intelligent Data Analysis LaboratoryPhysical Review Research, 4, pp. 013213 (1) - 013213 (16). ISSN: 2643-1564
Joan Vicent Sánchez-Ortí; Vicent Balanzá-Martínez; Patricia Correa-Ghisays; Gabriel Selva-Vera; Joan Vila-Francés; Rafael Magdalena-Benedito; Constanza San-Martin; Víctor M Victor; Irene Escribano-Lopez; Antonio Hernández-Mijares; Juliana Vivas-Lalinde; Benedicto Crespo-Facorro; Rafael Tabarés-Seisdedos(2022)Research Group on Intelligent Data Analysis LaboratoryActa Psychiatrica Scandinavica, 146(3), pp. 215 - 226. ISSN: 0001-690X
Marta Garés-Caballer; Joan Vicent Sánchez-Ortí; Patricia Correa-Ghisays; Vicent Balanzá-Martínez; Gabriel Selva Vera; Joan Vila-Francés; Rafael Magdalena- Benedito; Constanza San Martín Valenzuela; Victor M Victor; Irene Escribano-Lopez; Antonio Hernandez-Mijares; Juliana Vivas-Lalinde; Eduard Vieta; Juan C Leza; Rafael Tabarés-Seisdedos(2022)Research Group on Intelligent Data Analysis LaboratoryFrontiers In Neurology, 13, p. 883927. ISSN: 1664-2295
Antonio Ferrer-Sánchez; Jose Bagan; Joan Vila-Francés; Rafael Magdalena-Benedito; Leticia Bagan-Debon(2022)Research Group on Intelligent Data Analysis LaboratoryOral Oncology, 132, pp. 105967-1 - 8. ISSN: 1368-8375
E. Campo-Montalvo; M. Fernández de Sevilla; R. Magdalena Benedicto; S. Pérez-Díaz(2022)Research Group on Intelligent Data Analysis LaboratoryComputer Aided Geometric Design, 98. ISSN: 0167-8396
Patricia Correa-Ghisays; Joan Vicent Sánchez-Ortí; Vicent Balanzá-Martínez; Gabriel Selva-Vera; Joan Vila-Francés; Rafael Magdalena-Benedito; Victor M. Victor; Irene Escribano-López; Antonio Hernández-Mijares; Juliana Vivas-Lalinde; Constanza San-Martín; Benedicto Crespo-Facorro; Rafael Tabarés-Seisdedos(2021)Research Group on Intelligent Data Analysis LaboratoryJournal of Affective Disorders, 300, pp. 99 - 108. ISSN: 0165-0327
Raquel García-García; Juan F. Guerrero; Manuel Lavilla-Miyasato; Jose R. Magdalena; Juan F. Ordoño; Marta Llansola; Carmina Montoliu; Vicent Teruel-Martí; Vicente Felipo(2020)Research Group on Intelligent Data Analysis LaboratoryJournal of Neurochemistry, 40(26), pp. 56 - 70. ISSN: 0022-3042
Yongcheng Ding; José D. Martín-Guerrero; Rafael Magdalena-Benedicto; Mikel Sanz; Xi Chen; Enrique Solano(2020)Research Group on Intelligent Data Analysis LaboratoryPhysical Review Letters, 124(140504), pp. 1 - 6. ISSN: 0031-9007
Yongcheng Ding; José D. Martín-Guerrero; Rafael Magdalena-Benedicto; Mikel Sanz; Xi Chen; Enrique Solano(2020)Research Group on Intelligent Data Analysis LaboratoryPhysical Review Letters, 124(140504), pp. 1 - 6. ISSN: 0031-9007
Lorena Rodríguez García; José Rafael Magdalena Benedito(2016)Research Group on Intelligent Data Analysis LaboratoryLa revista Icono 14, 14(1), pp. 24 - 49. ISSN: 1697-8293
J Aguero ;J J Garces-Iniesta ;M Calvo-Asensio ;J Vila-Frances ;A Moreno ;S Lozano-Edo ; M Gil-Molina ;G Murillo-Varona ;G Rad-Garcia ;M Rodriguez-Serrano; F Buendia-Fuentes ;A Osa-Saez ;M A Arnau-Vives ;R Magdalena-Benedito ;L Martinez-Dolz(2026)Research Group on Intelligent Data Analysis LaboratoryEuropean Heart Journal-Cardiovascular Imaging, 27(supplement 1). ISSN: 2047-2404
Yongcheng Ding; Xi Chen; Rafael Magdalena-Benedito; José D Martín-Guerrero(2023)Closed-loop control of a noisy qubit with reinforcement learning.Machine Learning-Science And Technology, 4(2). ISSN: 2632-2153
Sánchez-Ortí JV, Correa-Ghisays P, Balanzá-Martínez V, Selva-Vera G, Vila-Francés J, Magdalena-Benedito R, San-Martin C, Victor VM, Escribano-Lopez I, Hernandez-Mijares A, Vivas-Lalinde J, Crespo-Facorro B, Tabarés-Seisdedos R.(2023)Research Group on Intelligent Data Analysis LaboratoryProgress in Neuro-Psychopharmacology & Biological Psychiatry. ISSN: 0278-5846
Adrià Costa-Roig; José Antonio March-Villalba; Albert Costa-Roig; Irene Diéguez Hernández-Vaquero; Alba Polo Rodrigo; Conca Baena María Ángeles; Rafael Magdalena-Benedicto; José Luís Ruíz Cerdá; Agustín Serrano Durbá(2025)Research Group on Intelligent Data Analysis LaboratoryJournal of Pediatric Surgery, 0(0), p. 162407. ISSN: 0022-3468
Journal Publications
Rafael Magdalena Benedito; Emilio Soria-Olivas,(2021).Ciencia de Datos, el nuevo habitat para la sociedad del futuro.Ciencia Abierta y Desarrollo Rural.. (pp. 107 - 124)..
R. Magdalena; Antonio Martínez Sabater; Francisco J. Ródenas,,(2017).Cuidados personales y nuevas tecnologías ante el envejecimiento y la atención a la cronicidad.Bienestar Social: Intervención familiar.. Volume. 1 . Number. 1 . (pp. 126 - 172)..
Other publications
- ContraerExpandirMARTINEZ SOBER, MARCELINOPDI-Catedratic/a d'UniversitatVicedega/Vicedegana / Vicedirector/a Ets
D. Lorente; F. Martínez-Martínez; M.J. Rupérez; M.A. Lago; M. Martínez-Sober; P. Escandell-Montero; J.M. Martínez-Martínez; S. Martínez-Sanchis; A.J. Serrano-López; C. Monserrat; J.D. Martín-Guerrero(2017)A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning.Expert Systems With Applications, 71, pp. 342 - 357. ISSN: 0957-4174
F. Martínez-Martínez; M.J. Rupérez; M. Martínez-Sober; D. Lorente; A.J. Serrano-López; S. Martínez-Sanchis; C. Monserrat; J.D. Martín-Guerrero(2017)Research Group on Intelligent Data Analysis LaboratoryComputers in Biology and Medicine, 90, pp. 116 - 124. ISSN: 0010-4825
Alberto Solano; Ivan Fayos; Alberto Urueña; Marcelino Martínez-Sober; Fernando Mateo; Emilio Soria-Olivas.(2021)Research Group on Intelligent Data Analysis LaboratoryApplied Sciences-Basel, 11(13), p. 5807. ISSN: 2076-3417
Iván Vallés-Pérez; Emilio Soria-Olivas; Marcelino Martínez-Sober; Antonio J Serrano-López; Juan Gómez-Sanchís; Fernando Mateo(2022)Research Group on Intelligent Data Analysis LaboratoryExpert Systems With Applications, 201(Septiembre 2022). ISSN: 0957-4174
Vallés-Pérez, Iván; Soria-Olivas, Emilio; Martínez-Sober, Marcelino; Serrano-López, Antonio J.; Vila-Francés, Joan; Gómez-Sanchís, Juan(2023)Research Group on Intelligent Data Analysis LaboratoryEngineering Applications of Artificial Intelligence, 120(105863). ISSN: 0952-1976
Alberto Solano; Kevin N. Dietrich; Marcelino Martínez-Sober; Regino Barranquero-Cardeñosa; Jorge Vila-Tomás; Pablo Hernández-Cámara(2023)Research Group on Intelligent Data Analysis LaboratoryApplied Sciences (Rumanía), 13(7), pp. 1 - 14. ISSN: 1454-5101
Bonetti, Andrea ; Martínez-Sober, Marcelino ; Torres, Julio C.; Vega, Jose M. ; Pellerin, Sebastien ; Vila-Francés, Joan(2023)Research Group on Intelligent Data Analysis LaboratoryApplied Sciences-Basel, 13(6038). ISSN: 2076-3417
Rodríguez Belenguer, Pablo; Piñana, José Luis ; Sánchez-Montañés, Manuel ; Soria-Olivas, Emilio ; Martínez-Sober, Marcelino ; Serrano-López, Antonio J.(2024)Research Group on Intelligent Data Analysis LaboratoryComputer Methods and Programs in Biomedicine. ISSN: 0169-2607
LM. López García;LF. Memba Massoko;M. Martínez Sober;C. Sanz Martí;I. Moscardó Chafer;A. Antolí Francés(2024)Research Group on Intelligent Data Analysis LaboratoryJournal of Engineering Research, 4(7). ISSN: 1726-6009
Salvador Castillo-Girones ; Sandra Munera ; Marcelino Martínez-Sober ; José Blasco; Sergio Cubero ; Juan Gómez-Sanchis(2025)Research Group on Intelligent Data Analysis LaboratoryComputers and Electronics in Agriculture. ISSN: 0168-1699
Fernando Mateo ; Joan Vila-Francés ; Emilio Soria-Olivas ; Marcelino Martínez-Sober ; Juan Gómez-Sanchis ; Antonio José Serrano-López(2025)Research Group on Intelligent Data Analysis LaboratoryApplied Sciences-Basel. ISSN: 2076-3417
Salvador Castillo-Gironés; Angel González; Sandra Munera; Marcelino Martínez-Sober; Sergio Cubero; Nariane Q. Vilhena; Ivan Blanco-Álvarez; Juan Gómez-Sanchis(2025)Firmness classification in 'Rojo Brillante' persimmon fruit after cold storage using hyperspectral imaging and deep learning with variational autoencoders.Lwt-Food Science And Technology, 229(118163), pp. 1 - 11. ISSN: 0023-6438
Ivan Blanco-Alvarez; Paula Peris-Costa; Marcelino Martínez-Sober; Juan Gómez-Sanchis; Jose Blasco(2025)Research Group on Intelligent Data Analysis LaboratoryExpert Systems With Applications, 301(130517), pp. 1 - 16. ISSN: 0957-4174
Journal Publications
- ContraerExpandirMATEO JIMENEZ, FERNANDOPDI-Titular d'Universitat
Gustau Camps-Valls; Jochem Verrelst; Jordi Munoz-Mari; Valero Laparra; Fernando Mateo-Jimenez; Jose Gomez-Dans(2016)Research Group on Intelligent Data Analysis LaboratoryIeee Geoscience And Remote Sensing Magazine, 4(2), pp. 1 - 16. ISSN: 2473-2397
Sofía Pérez Alenda; Fernando Mateo; Emilio Soria Olivas; Juan J. Carrasco; Santiago Bonanad; Felipe Querol Fuentes(2018)Research Group on Intelligent Data Analysis LaboratoryHaemophilia, 24(S1), pp. 43 - 43. ISSN: 1351-8216
Fernando Mateo; Juan J. Carrasco; Sofía Pérez Alenda; Marta Aguilar Rodríguez; Ana Chimeno Hernández; Emilio Soria Olivas; Santiago Bonanad; Felipe Querol Fuentes(2018)Research Group on Intelligent Data Analysis LaboratoryHaemophilia, 24(S5), pp. 168 - 169. ISSN: 1351-8216
Mateo, Fernando; Soria Olivas, Emilio; Carrasco, Juan Jose; Bonanad, Santiago; Querol, Felipe; Pérez Alenda, Sofía(2018)Research Group on Intelligent Data Analysis LaboratorySensors, 18(8), p. 2439. ISSN: 1424-8220
Alberto Urueña-López; Fernando Mateo; Julio Navío-Marco; José María Martínez-Martínez; Juan Gómez-Sanchís; Joan Vila Francés; Antonio José Serrano-López(2019)Research Group on Intelligent Data Analysis LaboratoryComputers & Security, 83, pp. 38 - 51. ISSN: 0167-4048
Tarazona, A.; Gómez, J.V.; Mateo, E.M.; Jiménez, M.; Mateo, F.(2019)Research Group on Intelligent Data Analysis LaboratoryInternational Journal of Food Microbiology, 306(nº art. 108259), pp. 1 - 13. ISSN: 0168-1605
Gómez, J.V. ; Tarazona, A.; Mateo, F.; Jiménez, M.; Mateo, E.M.(2019)Research Group on Intelligent Data Analysis LaboratoryFood Control, 101, pp. 58 - 68. ISSN: 0956-7135
Fernando Mateo; Juan J. Carrasco; Marta Aguilar-Rodríguez; Emilio Soria-Olivas; Santiago Bonanad; Felipe Querol; Sofía Pérez-Alenda(2019)Research Group on Intelligent Data Analysis LaboratoryHaemophilia, 25(3), pp. e165 - e173. ISSN: 1351-8216
Tarazona, A. ; Gómez, J.V.; Mateo, F.; Jiménez, M.; Romera, D.; Mateo, E.M.(2020)Research Group on Intelligent Data Analysis LaboratoryFood Control, 118(nº art. 107370), pp. 1 - 13. ISSN: 0956-7135
Alberto Solano; Ivan Fayos; Alberto Urueña; Marcelino Martínez-Sober; Fernando Mateo; Emilio Soria-Olivas.(2021)Research Group on Intelligent Data Analysis LaboratoryApplied Sciences-Basel, 11(13), p. 5807. ISSN: 2076-3417
Fernando Mateo, Juan José Garcés-Iniesta, Berthold Jenninger, Juan Gómez-Sanchís, Emilio Soria-Olivas, Paolo Chiggiato(2021)Research Group on Intelligent Data Analysis LaboratoryExpert Systems With Applications, 178(114959), pp. 1 - 10. ISSN: 0957-4174
Carlos Flores-Garrigós; Juan Vicent-Camisón; Juan J. Garcés-Iniesta; Emilio Soria-Olivas; Juan Gómez-Sanchís; Fernando Mateo(2021)Research Group on Intelligent Data Analysis LaboratoryApplied Sciences-Basel, 11(24). ISSN: 2076-3417
Tarazona, Andrea; Mateo, Eva M.; Gómez, José V.; Romera, David; Mateo, Fernando(2021)Research Group on Intelligent Data Analysis LaboratoryFungal Biology, 125, pp. 123 - 133. ISSN: 1878-6146
Mateo, Eva M.; Gómez, José V.; Tarazona, Andrea; García-Esparza, María Á.; Mateo, Fernando(2021)Research Group on Intelligent Data Analysis LaboratoryToxins, 13(545), pp. 1 - 24. ISSN: 2072-6651
Tarazona, Andrea; Gómez, José V.; Mateo, Fernando; Jiménez, Misericordia; Mateo, Eva M.(2021)Research Group on Intelligent Data Analysis LaboratoryToxins, 13(421), pp. 1 - 14. ISSN: 2072-6651
Mateo, Fernando; Tarazona, Andrea; Mateo, Eva M.(2021)Research Group on Intelligent Data Analysis LaboratoryFoods, 10(1543), pp. 1 - 20. ISSN: 2304-8158
Tarazona, A.; Mateo, E.M.; Gómez, J.V.; Gavara, R.; Jiménez, M.; Mateo, F.(2021)Research Group on Intelligent Data Analysis LaboratoryInternational Journal of Food Microbiology, 338(nº art. 109012), pp. 1 - 14. ISSN: 0168-1605
Iván Vallés-Pérez; Emilio Soria-Olivas; Marcelino Martínez-Sober; Antonio J Serrano-López; Juan Gómez-Sanchís; Fernando Mateo(2022)Research Group on Intelligent Data Analysis LaboratoryExpert Systems With Applications, 201(Septiembre 2022). ISSN: 0957-4174
Mateo, E.M.; Tarazona, A.; Jiménez, M.; Mateo, F.(2022)Research Group on Intelligent Data Analysis LaboratoryToxins, 14(Nº art. 807), pp. 1 - 25. ISSN: 2072-6651
Eva M. Mateo; Andrea Tarazona; Rosa Aznar; Fernando Mateo(2023)Research Group on Intelligent Data Analysis LaboratoryInternational Journal of Food Microbiology, 387(nº art 110054), pp. 1 - 14. ISSN: 0168-1605
Matteo Anello; Fernando Mateo; Bruno Bernardi; Angelo Maria Giuffrè; Jose Blasco; Juan Gómez-Sanchis(2024)Research Group on Intelligent Data Analysis LaboratoryIndustrial Crops and Products, 220, p. 119233. ISSN: 0926-6690
Alejandro Dionis-Ros; Joan Vila-Francés; Rafael Magdalena-Benedito; Fernando Mateo; Antonio J. Serrano-López(2024)Research Group on Intelligent Data Analysis LaboratoryApplied Sciences-Basel, 14(23), p. 11075. ISSN: 2076-3417
Fernando Mateo ; Joan Vila-Francés ; Emilio Soria-Olivas ; Marcelino Martínez-Sober ; Juan Gómez-Sanchis ; Antonio José Serrano-López(2025)Research Group on Intelligent Data Analysis LaboratoryApplied Sciences-Basel. ISSN: 2076-3417
Hamideh Moqadasi; Saeed Safari; Fernando Mateo(2025)Research Group on Intelligent Data Analysis LaboratoryScientific Reports, 15(34094). ISSN: 2045-2322
Melguizo, Clara; Tarazona, Andrea; Gil-Serna, Jessica; Mateo, Fernando; Patiño, Belén; Mateo, Eva María(2025)Research Group on Intelligent Data Analysis LaboratoryToxins, 17(10), pp. 487-1 - 18. ISSN: 2072-6651
Mateo, Eva María; Mateo Fernando; Tarazona Andrea; Jiménez Misericordia(2025)Research Group on Intelligent Data Analysis LaboratoryToxins, 17(8), pp. 378-1 - 78. ISSN: 2072-6651
Mateo, Fernando; Tarazona, Andrea; Gavara, Rafael; Mateo, Eva María(2025)Research Group on Intelligent Data Analysis LaboratoryInternational Journal of Food Microbiology, 439(111251), pp. 1 - 51. ISSN: 0168-1605
Mateo, Fernando; Mateo, Eva María; Tarazona, Andrea; García-Esparza, María Ángeles; Soria, José Miguel; Misericordia Jiménez(2025)Research Group on Intelligent Data Analysis LaboratoryToxins, 17(5), pp. 231-1 - 55. ISSN: 2072-6651
J.J. Garcés-Iniesta; E. Soria-Olivas; B. Jenninger; F. Mateo(2026)Research Group on Intelligent Data Analysis LaboratoryVacuum, 254, p. 115636. ISSN: 0042-207X
Journal Publications
Fernando Mateo; Emilio Soria Olivas; Marcelino Martínez Sober; María Téllez Plaza; Juan Gómez Sanchis; Josep Redón,(2016).Multi-step strategy for mortality assessment in cardiovascular risk patients.Proceedings of the 24th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2016).. (pp. 295 - 300)..
Fernando Mateo; Jordi Muñoz-Marí; Valero Laparra; Jochem Verrelst; Gustau Camps-Valls,(2016).Learning Structures in Earth Observation Data with Gaussian Processes.Advanced Analysis and Learning on Temporal Data.. (pp. 78 - 94)..
Fernando Mateo; Joan Vila Francés; Emilio Soria Olivas,(2019).Avances en Machine Learning para aplicaciones de ciberseguridad.Ciberseguridad: El reto del siglo XXI.. (pp. 27 - 41)..
Anello, Matteo; Mateo, Fernando; Bernardi, Bruno; Benalia, Souraya; Zimbalatti, Giuseppe; Blasco, Jose; Gómez-Sanchis, Juan,(2024).Is It Possible to Do a Reliable Assessment of Bergamot Colour in the Field with a Smartphone Camera?.Lecture Notes in Civil Engineering.. Volume. 521 . (pp. 269 - 275)..
Other publications
- ContraerExpandirVIVES GILABERT, YOLANDAPDI-Titular d'UniversitatCoordinador/a de Mobilitat
Crespo, I.; Santos, A.; Gómez-Ansón, B.; López-Mourelo, O.; Pires, P.; Vives-Gilabert, Y.; Webb, S.M.; Resmini, E.2016Research Group on Intelligent Data Analysis LaboratoryEndocrineVolume 53. Number 3.
Serra-Blasco, M.; de Diego-Adeliño, J.; Vives-Gilabert, Y.; Trujols, J.; Puigdemont, D.; Carceller-Sindreu, M.; Pérez, V.; Álvarez, E.; Portella, M.J.2016Research Group on Intelligent Data Analysis LaboratoryDepression and AnxietyVolume 33. Number 11.
Resmini, E.; Santos, A.; Aulinas, A.; Webb, S.M.; Vives-Gilabert, Y.; Cox, O.; Wand, G.; Lee, R.S.2016Research Group on Intelligent Data Analysis LaboratoryEndocrine JournalVolume 54. Number 3.
Santos, A.; Granell, E.; Gómez-Ansón, B.; Crespo, I.; Pires, P.; Vives-Gilabert, Y.; Valassi, E.; Webb, S.M.; Resmini, E.2017Research Group on Intelligent Data Analysis LaboratoryBiomed Research International
Hoogman, M.; Bralten, J.; Hibar, D.P.; Mennes, M.; Zwiers, M.P.; Schweren, L.S.J.; van Hulzen, K.J.E.; Medland, S.E.; Shumskaya, E.; Jahanshad, N.; Zeeuw, P. de, Szekely, E.; Sudre, G.; Wolfers, T.; Onnink, A.M.H.; Dammers, J.T.; Mostert, J.C.; Vives-Gilabert, Y.; Kohls, G.; Oberwelland, E.; Seitz, J.; Schulte-Rüther, M.; Ambrosino, S.; Doyle, A.E.; Høvik, M.F.; Dramsdahl, M.; Tamm, L.; van Erp, T.G.M.; Dale, A.; Schork, A.; Conzelmann, A.; Zierhut, K.; Baur, R.; McCarthy, H.; Yoncheva, Y.N.; Cubillo, A.; Chantiluke, K.; Mehta, M.A.; Paloyelis, Y.; Hohmann, S.; Baumeister, S.; Bramati, I.; Mattos, P.; Tovar-Moll, F.; Douglas, P.; Banaschewski, T.; Brandeis, D.; Kuntsi, J.; Asherson, P.; Rubia, K.; Kelly, C.; Martino, A.D.; Milham, M.P.; Castellanos, F.X.; Frodl, T.; Zentis, M.; Lesch, K.-P.; Reif, A.; Pauli, P.; Jernigan, T.L.; Haavik, J.; Plessen, K.J.; Lundervold, A.J.; Hugdahl, K.; Seidman, L.J.; Biederman, J.; Rommelse, N.; Heslenfeld, D.J.; Hartman, C.A.; Hoekstra, P.J.; Oosterlaan, J.; Polier, G. von, Konrad, K.; Vilarroya, O.; Ramos-Quiroga, J.A.; Soliva, J.C.; Durston, S.; Buitelaar, J.K.; Faraone, S.V.; Shaw, P.; Thompson, P.M.; Franke, B.2017Research Group on Intelligent Data Analysis LaboratoryThe Lancet PsychiatryVolume 4. Number 4.
Pires, P.; Santos, A.; Vives-Gilabert, Y.; Webb, S.M.; Sainz-Ruiz, A.; Resmini, E.; Crespo, I.; de Juan-Delago, M.; Gómez-Anson, B.2017Research Group on Intelligent Data Analysis LaboratoryPituitaryVolume 20. Number 3.
Alonso-Solís, A.; Vives-Gilabert, Y.; Portella, M.J.; Rabella, M.; Grasa, E.M.; Roldán, A.; Keymer-Gausset, A.; Molins, C.; Núñez-Marín, F.; Gómez-Ansón, B.; Alvarez, E.; Corripio, I.2017Research Group on Intelligent Data Analysis LaboratorySchizophrenia ResearchVolume 189.
Carceller-Sindreu, M.; Serra-Blasco, M.; de Diego-Adeliño, J.; Vives-Gilabert, Y.; Vicent-Gil, M.; Via, E.; Puigdemont, D.; Álvarez, E.; Pérez, V.; Portella, M.J.2019Research Group on Intelligent Data Analysis LaboratoryJournal of Affective DisordersVolume 245.
Vives-Gilabert, Y.; Sanz-Sánchez, J.; Molina, P.; Cebrián, A.; Igual, B.; Calvillo-Batllés, P.; Domingo, D.; Millet, J.; Martínez-Dolz, L.; Castells, F.; Zorio, E.2019Left ventricular myocardial dysfunction in arrhythmogenic cardiomyopathy with left ventricular involvement: A door to improving diagnosisInternational Journal of CardiologyVolume 274.
Hoogman, M.; Muetzel, R.; Guimaraes, J.P.; Shumskaya, E.; Mennes, M.; Zwiers, M.P.; Jahanshad, N.; Sudre, G.; Wolfers, T.; Earl, E.A.; Soliva Vila, J.C.; Vives-Gilabert, Y.; Khadka, S.; Novotny, S.E.; Hartman, C.A.; Heslenfeld, D.J.; Schweren, L.J.S.; Ambrosino, S.; Oranje, B.; de Zeeuw, P.; Chaim-Avancini, T.M.; Rosa, P.G.P.; Zanetti, M.V.; Malpas, C.B.; Kohls, G.; von Polier, G.G.; Seitz, J.; Biederman, J.; Doyle, A.E.; Dale, A.M.; van Erp, T.G.M.; Epstein, J.N.; Jernigan, T.L.; Baur-Streubel, R.; Ziegler, G.C.; Zierhut, K.C.; Schrantee, A.; Høvik, M.F.; Lundervold, A.J.; Kelly, C.; McCarthy, H.; Skokauskas, N.; O'Gorman Tuura, R.L.; Calvo, A.; Lera-Miguel, S.; Nicolau, R.; Chantiluke, K.C.; Christakou, A.; Vance, A.; Cercignani, M.; Gabel, M.C.; Asherson, P.; Baumeister, S.; Brandeis, D.; Hohmann, S.; Bramati, I.E.; Tovar-Moll, F.; Fallgatter, A.J.; Kardatzki, B.; Schwarz, L.; Anikin, A.; Baranov, A.; Gogberashvili, T.; Kapilushniy, D.; Solovieva, A.; El Marroun, H.; White, T.; Karkashadze, G.; Namazova-Baranova, L.; Ethofer, T.; Mattos, P.; Banaschewski, T.; Coghill, D.; Plessen, K.J.; Kuntsi, J.; Mehta, M.A.; Paloyelis, Y.; Harrison, N.A.; Bellgrove, M.A.; Silk, T.J.; Cubillo, A.I.; Rubia, K.; Lazaro, L.; Brem, S.; Walitza, S.; Frodl, T.; Zentis, M.; Castellanos, F.X.; Yoncheva, Y.N.; Haavik, J.; Reneman, L.; Conzelmann, A.; Lesch, K.-P.; Pauli, P.; Reif, A.; Tamm, L.; Konrad, K.; Oberwelland Weiss, E.; Busatto, G.F.; Louza, M.R.; Durston, S.; Hoekstra, P.J.; Oosterlaan, J.; Stevens, M.C.; Ramos-Quiroga, J.A.; Vilarroya, O.; Fair, D.A.; Nigg, J.T.; Thompson, P.M.; Buitelaar, J.K.; Faraone, S.V.; Shaw, P.; Tiemeier, H.; Bralten, J.; Franke, B.2019Research Group on Intelligent Data Analysis LaboratoryAmerican Journal of PsychiatryVolume 176. Number 7.
de Kovel, C.G.F.; Aftanas, L.; Aleman, A.; Alexander-Bloch, A.F.; Baune, B.T.; Brack, I.; Bülow, R.; Busatto Filho, G.; Carballedo, A.; Connolly, C.G.; Cullen, K.R.; Dannlowski, U.; Davey, C.G.; Dima, D.; Dohm, K.; Erwin-Grabner, T.; Frodl, T.; Fu, C.H.Y.; Hall, G.B.; Glahn, D.C.; Godlewska, B.; Gotlib, I.H.; Goya-Maldonado, R.; Grabe, H.J.; Groenewold, N.A.; Grotegerd, D.; Gruber, O.; Harris, M.A.; Harrison, B.J.; Hatton, S.N.; Hickie, I.B.; Ho, T.C.; Jahanshad, N.; Kircher, T.; Krämer, B.; Krug, A.; Lagopoulos, J.; Leehr, E.J.; Li, M.; MacMaster, F.P.; MacQueen, G.; McIntosh, A.M.; McLellan, Q.; Medland, S.E.; Mueller, B.A.; Nenadic, I.; Osipov, E.; Papmeyer, M.; Portella, M.J.; Reneman, L.; Rosa, P.G.P.; Sacchet, M.D.; Schnell, K.; Schrantee, A.; Sim, K.; Simulionyte, E.; Sindermann, L.; Singh, A.; Stein, D.J.; Ubani, B.N.; Van der Wee, N.J.A.; Van der Werff, S.J.A.; Veer, I.M.; Vives-Gilabert, Y.; Völzke, H.; Walter, H.; Walter, M.; Schreiner, M.W.; Whalley, H.; Winter, N.; Wittfeld, K.; Yang, T.T.; Yüksel, D.; Zaremba, D.; Thompson, P.M.; Veltman, D.J.; Schmaal, L.; Francks, C.2019Research Group on Intelligent Data Analysis LaboratoryAmerican Journal of PsychiatryVolume 176. Number 12.
Draganov, M.; Vives-Gilabert, Y.; de Diego-Adeliño, J.; Vicent-Gil, M.; Puigdemont, D.; Portella, M.J.2020Research Group on Intelligent Data Analysis LaboratoryJournal of Affective DisordersVolume 266.
Schmaal, L.; Pozzi, E.; C. Ho, T.; van Velzen, L.S.; Veer, I.M.; Opel, N.; Van Someren, E.J.W.; Han, L.K.M.; Aftanas, L.; Aleman, A.; Baune, B.T.; Berger, K.; Blanken, T.F.; Capitão, L.; Couvy-Duchesne, B.; R. Cullen, K.; Dannlowski, U.; Davey, C.; Erwin-Grabner, T.; Evans, J.; Frodl, T.; Fu, C.H.Y.; Godlewska, B.; Gotlib, I.H.; Goya-Maldonado, R.; Grabe, H.J.; Groenewold, N.A.; Grotegerd, D.; Gruber, O.; Gutman, B.A.; Hall, G.B.; Harrison, B.J.; Hatton, S.N.; Hermesdorf, M.; Hickie, I.B.; Hilland, E.; Irungu, B.; Jonassen, R.; Kelly, S.; Kircher, T.; Klimes-Dougan, B.; Krug, A.; Landrø, N.I.; Lagopoulos, J.; Leerssen, J.; Li, M.; Linden, D.E.J.; MacMaster, F.P.; M. McIntosh, A.; Mehler, D.M.A.; Nenadić, I.; Penninx, B.W.J.H.; Portella, M.J.; Reneman, L.; Rentería, M.E.; Sacchet, M.D.; G. Sämann, P.; Schrantee, A.; Sim, K.; Soares, J.C.; Stein, D.J.; Tozzi, L.; van Der Wee, N.J.A.; van Tol, M.-J.; Vermeiren, R.; Vives-Gilabert, Y.; Walter, H.; Walter, M.; Whalley, H.C.; Wittfeld, K.; Whittle, S.; Wright, M.J.; Yang, T.T.; Zarate, C.; Thomopoulos, S.I.; Jahanshad, N.; Thompson, P.M.; Veltman, D.J.2020Research Group on Intelligent Data Analysis LaboratoryTranslational Psychiatry
van Velzen, L.S.; Kelly, S.; Isaev, D.; Aleman, A.; Aftanas, L.I.; Bauer, J.; Baune, B.T.; Brak, I.V.; Carballedo, A.; Connolly, C.G.; Couvy-Duchesne, B.; Cullen, K.R.; Danilenko, K.V.; Dannlowski, U.; Enneking, V.; Filimonova, E.; Förster, K.; Frodl, T.; Gotlib, I.H.; Groenewold, N.A.; Grotegerd, D.; Harris, M.A.; Hatton, S.N.; Hawkins, E.L.; Hickie, I.B.; Ho, T.C.; Jansen, A.; Kircher, T.; Klimes-Dougan, B.; Kochunov, P.; Krug, A.; Lagopoulos, J.; Lee, R.; Lett, T.A.; Li, M.; MacMaster, F.P.; Martin, N.G.; McIntosh, A.M.; McLellan, Q.; Meinert, S.; Nenadić, I.; Osipov, E.; Penninx, B.W.J.H.; Portella, M.J.; Repple, J.; Roos, A.; Sacchet, M.D.; Sämann, P.G.; Schnell, K.; Shen, X.; Sim, K.; Stein, D.J.; van Tol, M.-J.; Tomyshev, A.S.; Tozzi, L.; Veer, I.M.; Vermeiren, R.; Vives-Gilabert, Y.; Walter, H.; Walter, M.; van der Wee, N.J.A.; van der Werff, S.J.A.; Schreiner, M.W.; Whalley, H.C.; Wright, M.J.; Yang, T.T.; Zhu, A.; Veltman, D.J.; Thompson, P.M.; Jahanshad, N.; Schmaal, L.2020Research Group on Intelligent Data Analysis LaboratoryMolecular PsychiatryVolume 25. Number 7.
Draganov, M.; Arranz, M.J.; Vives-Gilabert, Y.; Jubero, M.; de Diego-Adeliño, J.; Àvila-Parcet, A.; Puigdemont, D.; Portella, M.J.2021Research Group on Intelligent Data Analysis LaboratoryPsychiatry Research-Neuroimaging
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Vlad Negnevitsky; Yolanda Vives-Gilabert; Jose M. Algarín; Lincoln Craven-Brightman; Rubén Pellicer-Guridi; Thomas O'Reilly; Jason P. Stockmann; Andrew Webb; Joseba Alonso and Benjamin Menküc.2023Research Group on Intelligent Data Analysis LaboratoryJournal of Magnetic ResonanceVolume 350.
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